Advertisement
| quantitative analysis tools in decision making: Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers) Mik Wisniewski, Dr Farhad Shafti, 2019-05-12 Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual |
| quantitative analysis tools in decision making: Decision Analysis for Managers David Charlesworth, 2013-03-13 Everybody has to make decisions—they are unavoidable. Yet we receive little or no education or training on how to make decisions. Business decisions can be dif_ cult: which people to hire, which product lines or facilities to expand and which to sell or shut down, which bid or proposal to accept, which process to implement, how much R&D to invest in, which environmental projects should receive the highest priority, etc. This book gives you all the tools you need to... • clarify and reach alignment on goals and objectives and understand trade-offs in reaching those goals, • develop and examine alternatives, • systematically analyze the effects of risk and uncertainty, and • maximize the chances of achieving your goals and objectives. Success (getting what you want) depends on luck and good decision making. You can’t control your luck, but you can maximize your odds by making the best possible decisions, and this book gets you there. Broadly speaking, this book organizes and presents otherwise formal decision-making tools in an intuitively understandable fashion. The presentation is informal, but the concepts and tools are research-based and formally accepted. |
| quantitative analysis tools in decision making: Quantitative Analysis Tools in Decision Making Hang Lau, Brock McLellan, Ralph M. Stair, Michael E. Hanna, 2011 |
| quantitative analysis tools in decision making: Quantitative Methods for Decision Makers Mik Wisniewski, 2009 Quantitative Methods for Decision Makers covers everything you need to know for an introductory quantitative methods course. Relating techniques directly to real-life business decisions in private and public sector organisations, it is particularly well-suited to MBA students who will be applying quantitative methods in day-to-day managerial decision-making. |
| quantitative analysis tools in decision making: Quantitative Analysis for Decision Makers, 7th Edition (Formally known as Quantitative Methods for Decision Makers) Mik Wisniewski, Dr Farhad Shafti, 2019-05-12 Were you looking for the book with access to MyLab Math Global? This product is the book alone and does NOT come with access to MyLab Math Global. Students, if MyLab Math Global is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyLab Math Global should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. There's no doubt that a manager's job is getting tougher. Do it better, do it faster, do it cheaper are the pressures every manager faces. And at the heart of every manager's job is decision-making: deciding what to do and how to do it. This well-respected text looks at how quantitative analysis techniques can be used effectively to support such decision making. As a manager, developing a good understanding of the quantitative analysis techniques at your disposal is crucial. Knowing how, and when, to use them and what their results really mean can be the difference between making a good or bad decision and, ultimately, between business success and failure. Appealing both to students on introductory-level courses and to MBA and postgraduate students, this internationally successful text provides an accessible introduction to a subject area that students often find difficult. Quantitative Analysis for Decision Makers (formerly known as Quantitative Methods for Decision Makers) helps students to understand the relevance of quantitative methods of analysis to management decision-making by relating techniques directly to real-life business decisions in public and private sector organisations and focuses on developing appropriate skills and understanding of how the techniques fit into the wider management process. Key features: The use of real data sets to show how analytical techniques are used in practice “QADM in Action” case studies illustrating how organisations benefit from the use of analytical techniques Articles from the Financial Times illustrating the use of such techniques in a variety of business settings Fully worked examples and exercises supported by Excel data sets Student Progress Check activities in each chapter with solutions A 300+ page Tutors Solutions Manual |
| quantitative analysis tools in decision making: Decision-Making Management Alberto Pliego Marugan, Fausto Pedro Garcia Marquez, 2017-07-20 Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book. - Explores the use of logical decision trees to solve business problems - Uses mathematical optimization techniques to resolve 'big data' or other multi-criteria problems - Provides annexes showcasing application in manufacturing, product design and logistics - Shows case examples in telecommunications, renewable energy and aerospace - Supplies introduction by Benjamin Lev, Editor-in-Chief of Omega, the highest-ranked journal in management science (JCR) |
| quantitative analysis tools in decision making: Quantitative Risk Management and Decision Making in Construction Amarjit Singh, 2017 Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects. |
| quantitative analysis tools in decision making: Quantitative Methods Paolo Brandimarte, 2012-01-03 An accessible introduction to the essential quantitative methods for making valuable business decisions Quantitative methods-research techniques used to analyze quantitative data-enable professionals to organize and understand numbers and, in turn, to make good decisions. Quantitative Methods: An Introduction for Business Management presents the application of quantitative mathematical modeling to decision making in a business management context and emphasizes not only the role of data in drawing conclusions, but also the pitfalls of undiscerning reliance of software packages that implement standard statistical procedures. With hands-on applications and explanations that are accessible to readers at various levels, the book successfully outlines the necessary tools to make smart and successful business decisions. Progressing from beginner to more advanced material at an easy-to-follow pace, the author utilizes motivating examples throughout to aid readers interested in decision making and also provides critical remarks, intuitive traps, and counterexamples when appropriate. The book begins with a discussion of motivations and foundations related to the topic, with introductory presentations of concepts from calculus to linear algebra. Next, the core ideas of quantitative methods are presented in chapters that explore introductory topics in probability, descriptive and inferential statistics, linear regression, and a discussion of time series that includes both classical topics and more challenging models. The author also discusses linear programming models and decision making under risk as well as less standard topics in the field such as game theory and Bayesian statistics. Finally, the book concludes with a focus on selected tools from multivariate statistics, including advanced regression models and data reduction methods such as principal component analysis, factor analysis, and cluster analysis. The book promotes the importance of an analytical approach, particularly when dealing with a complex system where multiple individuals are involved and have conflicting incentives. A related website features Microsoft Excel® workbooks and MATLAB® scripts to illustrate concepts as well as additional exercises with solutions. Quantitative Methods is an excellent book for courses on the topic at the graduate level. The book also serves as an authoritative reference and self-study guide for financial and business professionals, as well as readers looking to reinforce their analytical skills. |
| quantitative analysis tools in decision making: Research Methods and Data Analysis for Business Decisions James E. Sallis, Geir Gripsrud, Ulf Henning Olsson, Ragnhild Silkoset, 2021-10-30 This introductory textbook presents research methods and data analysis tools in non-technical language. It explains the research process and the basics of qualitative and quantitative data analysis, including procedures and methods, analysis, interpretation, and applications using hands-on data examples in QDA Miner Lite and IBM SPSS Statistics software. The book is divided into four parts that address study and research design; data collection, qualitative methods and surveys; statistical methods, including hypothesis testing, regression, cluster and factor analysis; and reporting. The intended audience is business and social science students learning scientific research methods, however, given its business context, the book will be equally useful for decision-makers in businesses and organizations. |
| quantitative analysis tools in decision making: Analytical Techniques for Decisionmaking Martin E. O'Connor, Obadiah A. Dugan, Lawrence E. Probst, 1979 |
| quantitative analysis tools in decision making: Quantitative Methods in Health Care Management Yasar A. Ozcan, 2009-04-20 Thoroughly revised and updated for Excel®, this second edition of Quantitative Methods in Health Care Management offers a comprehensive introduction to quantitative methods and techniques for the student or new administrator. Its broad range of practical methods and analysis spans operational, tactical, and strategic decisions. Users will find techniques for forecasting, decision-making, facility location, facility layout, reengineering, staffing, scheduling, productivity, resource allocation, supply chain and inventory management, quality control, project management, queuing models for capacity, and simulation. The book's step-by-step approach, use of Excel, and downloadable Excel templates make the text highly practical. Praise for the Second Edition The second edition of Dr. Ozcan's textbook is comprehensive and well-written with useful illustrative examples that give students and health care professionals a perfect toolkit for quantitative decision making in health care on the road for the twenty-first century. The text helps to explain the complex health care management problems and offer support for decision makers in this field. Marion Rauner, associate professor, School of Business, Economics, and Statistics, University of Vienna. Quantitative Methods in Health Care Administration, Second Edition covers a broad set of necessary and important topics. It is a valuable text that is easy to teach and learn from. David Belson, professor, Department of Industrial Engineering, Viterbi School of Engineering, University of Southern California. |
| quantitative analysis tools in decision making: The Quants Scott Patterson, 2010-02-02 With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast. |
| quantitative analysis tools in decision making: Food control system assessment tool: Dimension D Food and Agriculture Organization of the United Nations, 2019-07-15 The main objective of the tool is to propose a harmonized, objective and consensual basis to analyse the performance of a national food control system. It is intended to be used by countries as a supporting basis for self-assessment to identify priority areas of improvement and plan sequential and coordinated activities to reach expected outcomes, and by repeating the assessment on a regular basis, countries can monitor their progresses. The Tool is based on Codex principles and Guidelines for National Food Control Systems as well as other relevant Codex guidance for food control systems, which are referenced throughout the document. Its scope is given by the dual objectives quoted in Codex guidance for these systems: protect health of consumers and ensure fair practices in the food trade. |
| quantitative analysis tools in decision making: Guide for Making Acute Risk Decisions CCPS (Center for Chemical Process Safety), 2019-10-15 This book presents a guidance on a large range of decision aids for risk analysts and decision makers in industry so that vital decisions can be made in a more consistent, logical, and rigorous manner. It provide good industry practices on how risk decision making is conducted in the chemical industry from many risk information sources as well as all the elements that need to be addressed to ensure good decisions are being made. Topics Include: Identifying Risk Decisions, A Risk Decision Strategy for Process Safety, Case Studies in Risk Decision Making Failures, Guidance on Selecting Decision Aids, Templates for Decision Making in Risk-Based Process Safety, Understanding Process Hazards & Worst Possible Consequences, Management of Change as an Exercise in Risk Identification, Inherently Safer Design as an Exercise in Risk Tradeoff Analysis, Using LOPA and Risk Matrices in Risk Decisions, Using CPQRA and Safety Risk Criteria in Risk Decisions, Group Decision Making, Avoiding Decision Traps, Documentation of Process Safety Risk Decisions |
| quantitative analysis tools in decision making: Analytical Tools for Environmental Design and Management in a Systems Perspective Nicoline Wrisberg, Helias A. Udo de Haes, Ursula Triebswetter, Peter Eder, R. Clift, 2012-12-06 The aim of this book is to link demand and supply of environmental information in the field of Life Cycle Management. The book is based on the results of the CHAINET concerted action financed by EU-DGXII for the work period 1998-2000, and is intended to build bridges between the different scientific communities in the field of Life Cycle Management. A structured approach is followed, meaning that both demand and supply of environmental information are characterised, after which the two are linked. |
| quantitative analysis tools in decision making: Tools for Making Acute Risk Decisions CCPS (Center for Chemical Process Safety), 2010-09-14 The complexity of today's risk decisions is well known. Beyond cost and risk there are many other factors contributing to these decisions, including type of risk (such as human injury or fatality), the economic impact on the local community, profitability, availability of capital, alternatives for reducing or eliminating the risk, costs of implementing alternatives, codes, standards, regulation, and good industry practice. This book presents a large range of decision aids for risk analysts and decision makers in industry so that vital decisions can be made in a more consistent, logical, and rigorous manner. Though primarily aimed at the process industry, this book can be used by anyone who makes similar decisions in other industries, including those in management science. |
| quantitative analysis tools in decision making: Quantitative Methods for Portfolio Analysis T. Kariya, 2012-12-06 Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems. In particular, this book is required reading for: (1) `Quants' (quantitatively-inclined analysts) in financial industries; (2) financial engineers in investment banks, securities companies, derivative-trading companies, software houses, etc., who are developing portfolio trading systems; (3) graduate students and specialists in the areas of finance, business, economics, statistics, financial engineering; and (4) investors who are interested in Japanese financial markets. Throughout the book the emphasis is placed on the originality and usefulness of models and methods for the construction of portfolios and investment decision making, and examples are provided to demonstrate, with practical analysis, models for Japanese financial markets. |
| quantitative analysis tools in decision making: Study Guide to Decision-Making in Management Cybellium, 2024-10-26 Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com |
| quantitative analysis tools in decision making: Strategic Planning George A. Steiner, 2008-06-30 In today's complex business world, strategic planning is indispensable to achieving superior management. George A. Steiner's classic work, known as the bible of business planning, provides practical advice for organizing the planning system, acquiring and using information, and translating strategic plans into decisive action. An invaluable resource for top and middle-level executives, Strategic Planning continues to be the foremost guide to this vital area of business management. |
| quantitative analysis tools in decision making: Handbook of Decision Analysis Gregory S. Parnell, Terry Bresnick, Steven N. Tani, Eric R. Johnson, 2013-01-24 A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels. |
| quantitative analysis tools in decision making: Principles of Risk-Based Decision Making In c. ABS Consulting, 2002-02 Principles of Risk-Based Decision Making provides managers with the foundation for creating a proactive organizational culture that systematically incorporates risk into key decision-making processes. Based on methodology adopted by a number of organizations including the federal government, this book examines risk-based decision making as a process for organizing information about the possibility for unwanted outcomes in a simple, practical way that helps decision makers make timely, informed management choices that minimize harmful effects on safety and health, the environment, property loss, or mission success. Citing practical examples, charts, and checklists, the authors break the risk-based decision making process into five key components: establishing the decision structure, performing the risk assessment, managing sufficient risks, monitoring effectiveness of adopted risk controls through impact assessment, and facilitating risk communication. They examine each component in detail and outline available decision analysis and risk assessment tools that aid in each of these risk-based decision making functions. This book also walks readers through eight project management steps—from scoping a risk assessment to evaluating the recommendations—the components of each, and the importance of these steps to the success of a risk assessment. Special features include a table for applying the risk-based decision-making process, a hazard identification guidesheet, an example of human error, an acronym list, and a glossary. |
| quantitative analysis tools in decision making: Project Based Problem Solving and Decision Making Harold Kerzner, 2023-11-07 PROJECT BASED PROBLEM SOLVING AND DECISION MAKING A project manager’s guide to solving complex project issues and making strategic decisions An everyday resource for project managers who are tasked with identifying and solving complex problems, Project Based Problem Solving and Decision Making offers valuable guidance on how to make informed decisions that move projects forward, provides project managers with expert advice for communicating clearly and effectively with team members and project stakeholders, and describes how to effectively lead project teams and empower team members to make strategic project decisions. Written by Dr. Harold Kerzner, bestselling author and one of the leading minds in project management, Project Based Problem Solving and Decision Making includes information on: Developing effective problem-solving and decision-making???important skills for professional project managers Leading teams, setting and achieving goals, and making sure that projects are completed on time and within budget Identifying and solving problems that arise during complex projects, and making informed decisions that move projects forward Using a project-based approach: breaking the project down into smaller, manageable??chunks and tackling each one separately Focusing on specific problems or decisions and implementing solutions tailored to the??specific needs of the project Project Based Problem Solving and Decision Making is an essential everyday resource for professional project managers, as well as students studying project management. Dr. Kerzner is not only a world-renowned author in project management but also serves as the Senior Executive Director at the International Institute for Learning, Inc. (IIL). To explore more about IIL’s offerings, visit www.iil.com or get in touch via email at learning@iil.com. |
| quantitative analysis tools in decision making: Essential Management Accounting Belinda Steffan, 2008 Essential Management Accounting demystifies management accounting techniques and helps you to apply these techniques across all areas of your business. Unlike other books in this area, Essential Management Accounting is not only a crucial primer on basic accountancy but also an important exploration of how management accounting techniques can be built into other management areas to maximize business performance.Backed up with empirical data and real-world case studies drawn from the author's twelve years of experience in the field, Essential Management Accounting will enable you to use these techniques to increase the efficiency and profitability of your company and make crucial decisions about its future performance.With an authoritative section on business planning and useful key point summaries at the end of each chapter, Essential Management Accounting will help you run your business as professionally and competitively as possible. |
| quantitative analysis tools in decision making: Models and Methods for Management Science Hao Zhang, 2022-08-18 This textbook introduces systems science as an entry point to present a basic introduction to research models and methods in management science (operation research). This textbook selects the classic quantitative models and methods as well as rich cases and detailed examples, which are suitable for students with a certain management and economics knowledge for further study, and helps to develop the abilities of using the basic models in real life. |
| quantitative analysis tools in decision making: Food control system assessment tool , 2021-10-07 National food control system plays a pivotal role in protecting the health of consumers and ensuring fair practices in food trade. When we are able to assess performance of the system in a comprehensive way, it can identify priority areas of improvement and plan sequential and coordinated activities to reach expected outcomes. To demonstrate good performance of the system gives an opportunity to Member states for new markets, to improve trading relationships and to build stakeholder confidence domestically as well. FAO and WHO jointly developed a comprehensive tool to assist Member states in assessing the effectiveness of national food control system. The FAO/WHO Food Control System Assessment Tool comprises 162 assessment criteria under 25 system competencies over 4 Dimensions. This introductory booklet is designed to facilitate application of the assessment tool, and competent authorities are able to have an overview by this booklet before they initiate the assessment. This booklet includes several interactive buttons and links to better browse the document. Interactive tools (such as texts underlined in orange) includes also “pop-up” additional notes which can be opened clicking on the symbol +. |
| quantitative analysis tools in decision making: Decision Support Systems for Risk-Based Management of Contaminated Sites Antonio Marcomini, Glenn Walter Suter II, Andrea Critto, 2008-12-16 Decision Support Systems for Risk-Based Management of Contaminated Sites addresses decision making in environmental risk management for contaminated sites, focusing on the potential role of decision support systems in informing the management of chemical pollutants and their effects. Considering the environmental relevance and the financial impacts of contaminated sites all over the post-industrialized countries and the complexity of decision making in environmental risk management, decision support systems can be used by decision makers in order to have a more structured analysis of a problem at hand and define possible options of intervention to solve the problem. Accordingly, the book provides an analysis of the main steps and tools for the development of decision support systems, namely: environmental risk assessment, decision analysis, spatial analysis and geographic information system, indicators and endpoints. Sections are dedicated to the review of decision support systems for contaminated land management and for inland and coastal waters management. Both include discussions of management problem formulation and of the application of specific decision support systems. This book is a valuable support for environmental risk managers and for decision makers involved in a sustainable management of contaminated sites, including contaminated lands, river basins and coastal lagoons. Furthermore, it is a basic tool for the environmental scientists who gather data and perform assessments to support decisions, developers of decision support systems, students of environmental science and members of the public who wish to understand the assessment science that supports remedial decisions. |
| quantitative analysis tools in decision making: PMP Project Management Professional Exam Study Guide Kim Heldman, Claudia M. Baca, Patti M. Jansen, 2007-07-30 Get the most comprehensive PMP® Exam study package on the market! Prepare for the demanding PMP certification exam with this Deluxe Edition of our PMP: Project Management Professional Exam Study Guide, Fourth Edition. Featuring a bonus workbook with over 200 extra pages of exercises, this edition also includes six practice exams, over two hours of audio on CD to help you review, additional coverage for the CAPM® (Certified Associate in Project Management) exam, and much more. Full coverage of all exam objectives in a systematic approach, so you can be confident you're getting the instruction you need for the exam Bonus workbook section with over 200 pages of exercises to help you master essential charting and diagramming skills Practical hands-on exercises to reinforce critical skills Real-world scenarios that put what you've learned in the context of actual job roles Challenging review questions in each chapter to prepare you for exam day Exam Essentials, a key feature in each chapter that identifies critical areas you must become proficient in before taking the exam A handy tear card that maps every official exam objective to the corresponding chapter in the book, so you can track your exam prep objective by objective On the accompanying CD you'll find: Sybex test engine: Test your knowledge with advanced testing software. Includes all chapter review questions and bonus exams. Electronic flashcards: Reinforce your understanding with flashcards that can run on your PC, Pocket PC, or Palm handheld. Audio instruction: Fine-tune your project management skills with more than two hours of audio instruction from author Kim Heldman. Searchable and printable PDF of the entire book. Now you can study anywhere, any time, and approach the exam with confidence. |
| quantitative analysis tools in decision making: Network Meta-Analysis for Decision-Making Sofia Dias, A. E. Ades, Nicky J. Welton, Jeroen P. Jansen, Alexander J. Sutton, 2018-03-19 A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question for this pre-identified population of patients, which treatment is 'best'? A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry. |
| quantitative analysis tools in decision making: Business Decision-Making Milan Frankl, 2015-05-11 How do executives make decisions? Based on what? Are their decisions conscious or unconscious? Can they explain each decision they make? What tools can they use to improve their decision-making process? What rules of thumb (heuristics) can they use when faced with decision-making challenges? These are some of the questions this book is about. During the past 30 years, as an entrepreneur and senior executive of several medium-sized Canadian hi-tech businesses, the author observed his decision-making processes to be based either on experience or on advice received from colleagues. Seldom were decisions based on formal or informal academic-based methods. Discussing decision-making methods with other executives of comparable business backgrounds confirms they rely on similar methods when looking for solutions to challenging business problems. There is no substitute for years of experience in any human endeavour. However, tapping into some of the methods and lessons learned from personal experience can result in useful principles for others to follow. These principles might be useful especially for entrepreneurs interested in building their businesses or executives looking for some additional help in acquiring a better decision-making mouse-trap. |
| quantitative analysis tools in decision making: Value-Added Decision Making for Managers Kenneth Chelst, Yavuz Burak Canbolat, 2011-10-05 Developed from the authors’ longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the important interaction between decisions and management action and clarifies the barriers to rational decision making. The authors analyze strengths and weaknesses of the best alternatives, enabling decision makers to improve on these alternatives by adding value and reducing risk. The core of the text addresses decisions that involve selecting the best alternative from diverse choices. The decisions include buying a car, picking a supplier or home contractor, selecting a technology, picking a location for a manufacturing plant or sports stadium, hiring an employee or selecting among job offers, deciding on the size of a sales force, making a late design change, and sourcing to emerging markets. The book also covers more complex decisions arising in negotiations, strategy, and ethics that involve multiple dimensions simultaneously. Numerous activities interspersed throughout the text highlight real-world situations, helping readers see how the concepts presented can be used in their own work environment or personal life. Each chapter also includes discussion questions and references. Web ResourceThe book’s website at http://ise.wayne.edu/research/decision.php offers tutorials of Logical Decisions software for multi-objective decisions and Precision Tree software for probabilistic decisions. Directions for downloading student versions of the DecisionTools Suite and Logical Decisions software can be found in the appendices. Password-protected PowerPoint presentations for each chapter and solutions to all of the numeric examples are available for instructors. |
| quantitative analysis tools in decision making: Sustainable Water Services Richard M. Ashley, D. Blackwood, P. Jowitt, 2004-06-30 Sustainable Water Services: A Procedural Guide is the result of the Sustainable Water industry Asset Resource Decisions (SWARD) project, undertaken by a consortium of UK academics in collaboration with water service providers in Scotland, England and Romania. It has been developed to act as a practical tool to assist with the explicit inclusion of ?sustainability? in the decision-making processes of those responsible for providing water services. The book contains a framework that comprises a set of decision support processes that can be used by water service providers to explicitly incorporate sustainability considerations into their decision-making procedures, through the use of sustainability principles, criteria, indicators and processes. These principles and criteria can be applied at an overall corporate strategic level, for example in the service provider?s mission statement, or at an application level, where these strategic principles are being applied to a particular decision. Sustainable Water Services is designed to inform and to provide support for strategic activity, both as a resource containing information about sustainability, and by employing feedback from application to inform the strategic processes of the water service provider. Presents an inclusive and generic set of sustainability criteria for use in water industry decision making processes; Discusses the legislative drivers for sustainable decision making for the UK water industry; Presents clear case study examples of the sustainability framework in action; Discusses the use and applicability of a wide range of tools and techniques for undertaking environmental, economic and social analyses, e.g. life cycle assessment, multi-criteria analysis. |
| quantitative analysis tools in decision making: Statistical Analysis for Decision Makers in Healthcare Jeffrey C. Bauer, 2017-08-09 Americans are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services. But while these health pro |
| quantitative analysis tools in decision making: Spationomy Vít Pászto, Carsten Jürgens, Polona Tominc, Jaroslav Burian, 2019-11-06 This open access book is based on Spationomy – Spatial Exploration of Economic Data, an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works. |
| quantitative analysis tools in decision making: Handbook of Research on Socio-Technical Design and Social Networking Systems Whitworth, Brian, de Moor, Aldo, 2009-03-31 Addresses current issues of research into socio-technical systems (STSs). Provides suggestions on how social knowledge can synergize with technical knowledge. |
| quantitative analysis tools in decision making: Refocusing Transportation Planning for the 21st Century National Research Council (U.S.). Transportation Research Board, 2000 Two conferences on Refocusing Transportation Planning for the 21st Century were held in 1999 following passage of the Transportation Equity Act for the 21st Century (TEA-21). The first conference focused on the identification of key trends, issues, and general areas of research. The results of Conference I, which produced stand-alone products, were used as input for Conference II. The second conference had the specific objective of producing research problem statements. Its mission was to review the results of the first conference by developing these statements. Conference II produced a number of detailed research statements that form the basis for the National Agenda for Transportation Planning Research. The proceedings of both conferences are presented in this report. |
| quantitative analysis tools in decision making: Managing for Healthy Ecosystems David J. Rapport, Bill L. Lasley, Dennis E. Rolston, N. Ole Nielsen, Calvin O. Qualset, Ardeshir B. Damania, 2002-10-29 One of the critical issues of our time is the dwindling capacity of the planet to provide life support for a large and growing human population. Based on a symposium on ecosystem health, Managing for Healthy Ecosystems identifies key issues that must be resolved if there is to be progress in this complex area, such as: Evolving methods for regional ecosystem health assessment employing complex adaptive systems coupled with adaptive technologies to permit accurate determination of changes in regional and global environments Issues and methods for assessing, monitoring, and managing diversity and its impact on human health in the context of climate change, agroecosystems, restoration of forests, politics, culture, and tradition. Leading thinkers in the field provide a coherent synthesis and a benchmark for the practice of this emerging field worldwide. The more than 100 peer-reviewed papers are grouped into three major parts. The first, Emerging Concepts, explores the diverse meanings of ecosystem health within ecological, socio-economic, and human health perspectives, and the linkages to related concepts such as ecological integrity, sustainable development, and ecological footprints. The second part, Issues and Methods, introduces methods for assessing and monitoring ecosystem health, including strategies for gaining political and stakeholder input and support for science-based ecosystem management. The final part, Case Studies, reports experiences of interdisciplinary teams grappling with specific issues in a variety of aquatic and terrestrial ecosystems. |
| quantitative analysis tools in decision making: Strategic Management of Built Facilities Craig Langston, Rima Lauge-Kristensen, 2013-05-13 The effective management of facilities can significantly improve business productivity. In this textbook the authors provide an overview of facility economics and outline the way in which businesses and facility managers can get better value from their physical assets. Students on facilities management and property related degrees will find this an invaluable introduction. |
| quantitative analysis tools in decision making: United States Air Force Academy United States Air Force Academy, |
| quantitative analysis tools in decision making: Global Business: Concepts, Methodologies, Tools and Applications Management Association, Information Resources, 2011-05-31 This multi-volume reference examines critical issues and emerging trends in global business, with topics ranging from managing new information technology in global business operations to ethics and communication strategies--Provided by publisher. |
| quantitative analysis tools in decision making: Enterprise, Business-Process and Information Systems Modeling Ilia Bider, Khaled Gaaloul, John Krogstie, Selmin Nurcan, Henderik A. Proper, Rainer Schmidt, Pnina Soffer, 2014-06-05 This book contains the refereed proceedings of the 15th International Conference on Business Process Modeling, Development and Support (BPMDS 2014) and the 19th International Conference on Exploring Modeling Methods for Systems Analysis and Design (EMMSAD 2014), held together with the 26th International Conference on Advanced Information Systems Engineering (CAiSE 2014) in Thessaloniki, Greece, in June 2014. The 20 full papers accepted for BPMDS were selected from 48 submissions and cover a wide spectrum of issues related to business process development, modeling, and support. They are grouped into topical sections on business process modeling as a human-driven process, representing the human perspective of business processes, supporting humans in business processes, variability-enabling process models, various models for various process perspectives, and BPMDS in practice. The ten full and three short papers accepted for EMMSAD were chosen from 27 submissions and focus on exploring, evaluating, and enhancing modeling methods and methodologies for the analysis and design of information systems, enterprises, and business processes. They are grouped into sections on conceptual modeling, requirements modeling, business process modeling, goal and language action modeling, enterprise and business modeling, and new approaches. |
Qualitative vs Quantitative Research: What's the Difference?
May 16, 2025 · Quantitative data involves measurable numerical information used to test hypotheses and identify patterns, while qualitative data is descriptive, capturing phenomena …
QUANTITATIVE Definition & Meaning - Merriam-Webster
The meaning of QUANTITATIVE is of, relating to, or expressible in terms of quantity. How to use quantitative in a sentence.
What Is Quantitative Research? | Definition, Uses & Methods
Jun 12, 2020 · Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and …
Qualitative vs. Quantitative Research | Differences, Examples
Apr 12, 2019 · Quantitative research is expressed in numbers and graphs. It is used to test or confirm theories and assumptions. This type of research can be used to establish …
What is Quantitative Data? [Definition, Examples & FAQ]
May 11, 2023 · Quantitative data is, quite simply, information that can be quantified. It can be counted or measured, and given a numerical value—such as length in centimeters or revenue …
Quantitative Research - Methods, Types and Analysis
Mar 26, 2024 · Quantitative research is a research approach that seeks to quantify data and generalize results from a sample to a larger population. It relies on structured data collection …
QUANTITATIVE | English meaning - Cambridge Dictionary
Our employees receive a quantitative rating based on the dollar value of their sales. quantitative analysis/researchPricing anomalies in the market could be picked up with the help of …
Quantitative research - Wikipedia
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the …
What Is Quantitative Research? An Overview and Guidelines
Aug 1, 2024 · In summary, quantitative research offers a structured, objective framework geared for hypothesis testing and generalizable insights, while non-quantitative research provides a …
What is Quantitative Research? - Quantitative and Qualitative …
Oct 23, 2024 · Quantitative research is a way to learn about a particular group of people, known as a sample population. Using scientific inquiry, quantitative research relies on data that are …
Qualitative vs Quantitative Research: What's the Difference?
May 16, 2025 · Quantitative data involves measurable numerical information used to test hypotheses and identify patterns, while qualitative data is descriptive, capturing phenomena …
QUANTITATIVE Definition & Meaning - Merriam-Webster
The meaning of QUANTITATIVE is of, relating to, or expressible in terms of quantity. How to use quantitative in a sentence.
What Is Quantitative Research? | Definition, Uses & Methods
Jun 12, 2020 · Quantitative research is the process of collecting and analyzing numerical data. It can be used to find patterns and averages, make predictions, test causal relationships, and …
Qualitative vs. Quantitative Research | Differences, Examples
Apr 12, 2019 · Quantitative research is expressed in numbers and graphs. It is used to test or confirm theories and assumptions. This type of research can be used to establish …
What is Quantitative Data? [Definition, Examples & FAQ]
May 11, 2023 · Quantitative data is, quite simply, information that can be quantified. It can be counted or measured, and given a numerical value—such as length in centimeters or revenue …
Quantitative Research - Methods, Types and Analysis
Mar 26, 2024 · Quantitative research is a research approach that seeks to quantify data and generalize results from a sample to a larger population. It relies on structured data collection …
QUANTITATIVE | English meaning - Cambridge Dictionary
Our employees receive a quantitative rating based on the dollar value of their sales. quantitative analysis/researchPricing anomalies in the market could be picked up with the help of …
Quantitative research - Wikipedia
Quantitative research is a research strategy that focuses on quantifying the collection and analysis of data. [1] It is formed from a deductive approach where emphasis is placed on the …
What Is Quantitative Research? An Overview and Guidelines
Aug 1, 2024 · In summary, quantitative research offers a structured, objective framework geared for hypothesis testing and generalizable insights, while non-quantitative research provides a …
What is Quantitative Research? - Quantitative and Qualitative …
Oct 23, 2024 · Quantitative research is a way to learn about a particular group of people, known as a sample population. Using scientific inquiry, quantitative research relies on data that are …
