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| quantitative analysis for managerial 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 for managerial 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 for managerial 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 for managerial decision making: Quantitative Methods Robert E. Markland, James R. Sweigart, 1987 Designed especially for quantitative business analysis (QBA), this book covers a broad field of quantitative methods and applications to managerial decision making. It provides a survey of modern management techniques such as probability concepts, forecasting, linear programming and model formulation, post-optimality analysis and utility theory. Extensive treatment of computer techniques is integrated into the text, including illustrations of both mainframe and microcomputer uses and up-to-date coverage of recent popular software packages. Techniques such as simplex or branch are repeatedly demonstrated with numerical examples so that the reader's comprehension is continually reinforced. |
| quantitative analysis for managerial 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 for managerial decision making: Quantitative Techniques for Managerial Decisions U. K. Srivastava, G. V. Shenoy, S. C. Sharma, 1989 This Book Is Designed To Serve As A Text For Management, Economics, Accountancy (Chartered And Cost Accountancy), And Commerce Students. The Book Covers Concepts, Illustrations And Problems In Statistics And Operations Research. Part I Deals With Statistical Techniques For Decision Making. Part Ii Studies Various Operations Research Techniques For Managerial Decisions.The Book Contains Illustrations And Problems, Drawn Extensively From Various Functional Areas Of Management, Viz., Production, Finance, Marketing And Personnel, Which Are Designed To Understand Real Life Decision Making Situations. In Order To Make The Book Self-Contained, All Relevant Mathematical Concepts And Their Applications Have Been Included. To Enhance The Understanding Of The Subject Matter By The Students Belonging To Different Disciplines, The Approach Adopted In This Book, Both In Statistics And Operations Research, Is Conceptional Rather Than Mathematical. Hence Complicated Mathematical Proofs Have Been Avoided.This Book Would Be An Ideal Reference To Executives, Computer Professionals, Industrial Engineers, Economic Planners And Social Scientists. The Other Books By The Same Authors Are: Operations Research For Management And Business Statistics. |
| quantitative analysis for managerial decision making: Quantitative Analysis for Business Decisions Harold Bierman, Charles P. Bonini, Warren H. Hausman, 1977 |
| quantitative analysis for managerial decision making: QUANTITATIVE TECHNIQUES FOR DECISION MAKING GUPTA, M. P., KHANNA, R. B., 2011-02 This thoroughly revised and well-received book, now in its Fourth Edition, continues to give an in-depth and incisive analysis of the various mathematical techniques required for managers in their decision-making process. The book provides a clear understanding of the practical utility of mathematical modelling and techniques, such as linear programming, integer programming, goal programming, dynamic programming, inventory models, decision theory, game theory, network analysis, queuing, simulation and Markov analysis, for solving real-life problems. The book lays emphasis on the practical applications of the techniques rather than their rigorous mathematical treatment. It also discusses probability and probability distributions—essential to tackling the everyday uncertainties of life. The book is primarily intended as a textbook for undergraduate and postgraduate students of management, postgraduate students of commerce, students of Master of Financial Control (MFC) course, and undergraduate students of industrial and production engineering. In addition, practising managers will also find the book immensely helpful in their day-to-day decision-making process. New to This Edition : A section describing the construction of activity on node (AON) networks for CPM and PERT networks has been included considering that most software designed for network analysis plot networks in this format. An appendix on ‘Mathematics for Managers’ which includes the topics of Matrix Algebra and Differential Calculus. New solved and unsolved problems. The book is recommended by AICTE for PGDM course. The link is www.aicte-india.org/modelsyllabus.php |
| quantitative analysis for managerial decision making: Quantitative Techniques for Management S. Jaisankar, 2009 This book has been developed with a focus on the need to demystify the subject and make it easy for students to grasp the principles and details involved, and make it easily understandable to beginners exposed to the subject for the first time. An attempt has been made to explain things in a logical progression, in the simplest possible way so that neophytes may quickly grasp the concepts and methodology. A novel approach in the book is the illustrative use of computers with TORA package, as a problem-solving tool. In actual practice, situations arise with large and complex problems that are difficult to solve. At such times, using computers to solve problems gives fast and more accurate results. The chapters are arranged so as to progressively explain the workings of various models in actual practice through step-by-step procedures that so simplify and solve them, that even students from a non-mathematics academic background will grasp them quickly. Linear programming, the most powerful tool for managerial decision-making is covered elaborately, including thorough discussion of various LP methods and LP solutions, Duality in LP problems, sensitivity analysis, etc. Models in the book also use Linear Programming to reach solutions including those relating to transportation and transshipment, assignment, and Game Theory&illustrated with screen-shots of a computer with a TORA package. Readers whether students, business executives, managers, researchers and academicians will find that the insights and knowledge obtained from the book will stand them in good stead in both academic as well as occupational pursuits. |
| quantitative analysis for managerial decision making: Quantitative Business Analysis Samuel E. Bodily, 1998 |
| quantitative analysis for managerial decision making: Managerial Decision Making: a Quantitative Analysis Rao K C S, 1994 |
| quantitative analysis for managerial 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 for managerial decision making: Quantitative Methods for Management Miguel Ángel Canela, Inés Alegre, Alberto Ibarra, 2019-07-03 This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel® dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book’s website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes. |
| quantitative analysis for managerial 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 for managerial decision making: Quantitative Methods for Business John Buglear, 2007-03-30 Quantitative Methods for Business: The A-Z of QM will enable readers to: *Appreciate the significance of quantitative methods for businesses and the study of business *Understand and apply a wide range of quantitative techniques *Select appropriate quantitative techniques for data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis |
| quantitative analysis for managerial decision making: Data Science for Business and Decision Making Luiz Paulo Favero, Patricia Belfiore, 2019-04-11 Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. - Combines statistics and operations research modeling to teach the principles of business analytics - Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business - Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs |
| quantitative analysis for managerial decision making: Quantitative Methods for Business David Ray Anderson, Jeffrey D. Camm, Dennis J. Sweeney, Thomas Arthur Williams, Kipp Martin, 2012-04 Readers don't need to be a mathematician to understand and maximize the power of quantitative methods! Written for the future or current business professional, QUANTITATIVE METHODS FOR BUSINESS, 12E, International Edition by a powerhouse, award-winning author team makes it easy for readers to understand how to most effectively use quantitative methods to make intelligent successful decisions. The book's hallmark problem-scenario approach guides readers through the application of mathematical concepts and techniques, while memorable examples illustrate how and when to use the methods. Readers discover everything needed for success in working with quantitative methods, from a strong managerial orientation to instant online access to Excel worksheets for text examples; The Management Scientist v6.0 and TreePlan; Crystal Ball; Premium Solver for Excel, and LINGO. |
| quantitative analysis for managerial decision making: Quantitative Methods for Managerial Decision Making Anton Redelinghuis, Frank William Julyan, B. L. Steyn, F. J. C. Benade, 1978 |
| quantitative analysis for managerial decision making: Keeping Up with the Quants Thomas H. Davenport, Jinho Kim, 2013-05-21 Why Everyone Needs Analytical Skills Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data. As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value. In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You’ll gain crucial skills, including: How to formulate a hypothesis How to gather and analyze relevant data How to interpret and communicate analytical results How to develop habits of quantitative thinking How to deal effectively with the “quants” in your organization Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you don’t have a business degree or if you aren’t comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge—and gain a significant competitive edge. |
| quantitative analysis for managerial decision making: Managerial Decision Analysis Danny Samson, 1992-05-19 This text focuses on how decision analysis can be used to support the managerial decision process. It supports professors and students in the classroom with extensive case studies and problem sets, and with Arborist software and documentation. |
| quantitative analysis for managerial decision making: Quantitative Methods for Managerial Decision Making Anton Redelinghuis, Frank William Julyan, 1989 |
| quantitative analysis for managerial decision making: Linear Programming G. V. Shenoy, 2007 Due To The Availability Of Computer Packages, The Use Of Linear Programming Technique By The Managers Has Become Universal. This Text Has Been Written Primarily For Management Students And Executives Who Have No Previous Background Of Linear Programming. The Text Is Oriented Towards Introducing Important Ideas In Linear Programming Technique At A Fundamental Level And Help The Students In Understanding Its Applications To A Wide Variety Of Managerial Problems. In Order To Strengthen The Understanding, Each Concept Has Been Illustrated With Examples. The Book Has Been Written In A Simple And Lucid Language And Has Avoided Mathematical Derivations So As To Make It Accessible To Every One.The Text Can Be Used In Its Entirely In A Fifteen Session Course At Programmes In Management, Commerce, Economics, Engineering Or Accountancy. The Text Can Be Used In One/Two Week Management/Executive Development Programmes To Be Supplemented With Some Cases. Practicing Managers And Executives, Computer Professionals, Industrial Engineers, Chartered And Cost Accountants And Economic Planners Would Also Find This Text Useful. |
| quantitative analysis for managerial 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 for managerial decision making: Financial Management for Decision Making Harold Bierman, Seymour Smidt, 2003 Provides a comprehensive introduction to corporate finance. This is a reprint |
| quantitative analysis for managerial decision making: Analysing Quantitative Data for Business and Management Students Charles Scherbaum, Kristen Shockley, 2015-02-12 In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas. Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method. Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis. |
| quantitative analysis for managerial decision making: Quantitative Methods Louise Swift, Sally Piff, 2014-06-06 The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications. Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills. Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses. New to this Edition: - Business Modelling 'Moving on...' feature with integrated web and book activities to promote student engagement with the application of mathematical techniques in real-life workplaces - Extensive revamp of two Statistics chapters based on student and lecturer feedback - Crucial updated practical guides to using Excel and SPSS - Integrated companion website resources helps relate theory to real world examples Accompanying online resources for this title can be found at bloomsburyonlineresources.com/quantitative-methods-4e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost. |
| quantitative analysis for managerial decision making: Research Anthology on Personal Finance and Improving Financial Literacy Management Association, Information Resources, 2020-12-05 Developing personal financial skills and improving financial literacy are fundamental aspects for managing money and propelling a bright financial future. Considering life events and risks that unexpectantly present themselves, especially in the light of recent global events, there is often an uncertainty associated with financial standings in unsettled times. It is important to have personal finance management to prepare for times of crisis, and personal finance is something to be thought about in everyday life. The incorporation of financial literacy for individuals is essential for a decision-making process that could affect their financial future. Having a keen understanding of beneficial and detrimental financial decisions, a plan for personal finances, and personalized goals are baselines for money management that will create stability and prosperity. In a world that is rapidly digitalized, there are new tools and technologies that have entered the sphere of finance as well that should be integrated into the conversation. The latest methods and models for improving financial literacy along with critical information on budgeting, saving, and managing spending are essential topics in today’s world. The Research Anthology on Personal Finance and Improving Financial Literacy provides readers with the latest research and developments in how to improve, understand, and utilize personal finance methodologies or services and obtain critical financial literacy. The chapters within this essential reference work will cover personal finance technologies, banking, investing, budgeting, saving, and the best practices and techniques for optimal money management. This book is ideally designed for business managers, financial consultants, entrepreneurs, auditors, economists, accountants, academicians, researchers, and students seeking current research on modern advancements and recent findings in personal finance. |
| quantitative analysis for managerial decision making: Quantitative Methods for Management George Suzuki, 1967 |
| quantitative analysis for managerial decision making: Quantitative Methods Robert E. Markland, James R. Sweigart, 1987-04-29 A comprehensive, class-tested text covering all aspects of operations research/management science. Designed for students pursuing business careers requiring managerial ability and decision-making skills, it strongly emphasizes applications through numerous real-life examples and illustrations, chapter outlines, discussion questions, problem sets, and ``application reviews'' which describe scenarios involving actual companies that have benefited from each method discussed. The material is presented in a concise, straightforward manner at a suitable mathematical level, i.e., that of finite mathematics and basic algebra. The mathematical foundation for each quantitative method is clearly set forth and illustrated by means of examples. Appendixes contain brief reviews of calculus and matrix algebra. In addition, the text describes how to apply several well-known and readily available microcomputer software packages to operations research/management science problems. Also includes end-of-chapter glossaries, lists of references, tables, and diagrams. |
| quantitative analysis for managerial decision making: Managerial Decision Modeling Nagraj (Raju) Balakrishnan, Barry Render, Ralph Stair, Charles Munson, 2017-08-07 This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941 |
| quantitative analysis for managerial 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 for managerial decision making: Quantitative Techniques in Business, Management and Finance Umeshkumar Dubey, D P Kothari, G K Awari, 2016-11-25 This book is especially relevant to undergraduates, postgraduates and researchers studying quantitative techniques as part of business, management and finance. It is an interdisciplinary book that covers all major topics involved at the interface between business and management on the one hand and mathematics and statistics on the other. Managers and others in industry and commerce who wish to obtain a working knowledge of quantitative techniques will also find this book useful. |
| quantitative analysis for managerial decision making: NBS Technical Note , 1967-05-23 |
| quantitative analysis for managerial decision making: Quantitative Methods for Business David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, 2005-10 The study guide will provide the student with significant supplementary study materials. Each chapter contains key concepts, a review section, sample problems with step-by-step solutions, problems with answers and self-testing questions with answers. |
| quantitative analysis for managerial decision making: Quantitative Analysis for Management Barry Render, Ralph M. Stair, Michael E. Hanna, Trevor S. Hale, 2017-01-05 Quantitative Analysis for Management helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors offer an accessible introduction to mathematical models and then students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms.-- |
| quantitative analysis for managerial decision making: Forecasting: principles and practice Rob J Hyndman, George Athanasopoulos, 2018-05-08 Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. |
| quantitative analysis for managerial decision making: Principles of Accounting Volume 2 - Managerial Accounting Mitchell Franklin, Patty Graybeal, Dixon Cooper, 2019-02-14 A less-expensive grayscale paperback version is available. Search for ISBN 9781680922936. Principles of Accounting is designed to meet the scope and sequence requirements of a two-semester accounting course that covers the fundamentals of financial and managerial accounting. This book is specifically designed to appeal to both accounting and non-accounting majors, exposing students to the core concepts of accounting in familiar ways to build a strong foundation that can be applied across business fields. Each chapter opens with a relatable real-life scenario for today's college student. Thoughtfully designed examples are presented throughout each chapter, allowing students to build on emerging accounting knowledge. Concepts are further reinforced through applicable connections to more detailed business processes. Students are immersed in the why as well as the how aspects of accounting in order to reinforce concepts and promote comprehension over rote memorization. |
| quantitative analysis for managerial decision making: The Oxford Handbook of Organizational Decision Making Gerard P. Hodgkinson, William H. Starbuck, 2008 The Oxford Handbook of Decision-Making comprehensively surveys theory and research on organizational decision-making, broadly conceived. Emphasizing psychological perspectives, while encompassing the insights of economics, political science, and sociology, it provides coverage at theindividual, group, organizational, and inter-organizational levels of analysis. In-depth case studies illustrate the practical implications of the work surveyed.Each chapter is authored by one or more leading scholars, thus ensuring that this Handbook is an authoritative reference work for academics, researchers, advanced students, and reflective practitioners concerned with decision-making in the areas of Management, Psychology, and HRM.Contributors: Eric Abrahamson, Julia Balogun, Michael L Barnett, Philippe Baumard, Nicole Bourque, Laure Cabantous, Prithviraj Chattopadhyay, Kevin Daniels, Jerker Denrell, Vinit M Desai, Giovanni Dosi, Roger L M Dunbar, Stephen M Fiore, Mark A Fuller, Michael Shayne Gary, Elizabeth George,Jean-Pascal Gond, Paul Goodwin, Terri L Griffith, Mark P Healey, Gerard P Hodgkinson, Gerry Johnson, Michael E Johnson-Cramer, Alfred Kieser, Ann Langley, Eleanor T Lewis, Dan Lovallo, Rebecca Lyons, Peter M Madsen, A. John Maule, John M Mezias, Nigel Nicholson, Gregory B Northcraft, David Oliver,Annie Pye, Karlene H Roberts, Jacques Rojot, Michael A Rosen, Isabelle Royer, Eugene Sadler-Smith, Eduardo Salas, Kristyn A Scott, Zur Shapira, Carolyne Smart, Gerald F Smith, Emma Soane, Paul R Sparrow, William H Starbuck, Matt Statler, Kathleen M Sutcliffe, Michal Tamuz , Teri JaneUrsacki-Bryant, Ilan Vertinsky, Benedicte Vidaillet, Jane Webster, Karl E Weick, Benjamin Wellstein, George Wright, Kuo Frank Yu, and David Zweig. |
| quantitative analysis for managerial decision making: Managerial Communication Geraldine E. Hynes, Jennifer R. Veltsos, 2018-01-20 A Practical, Strategic Approach to Managerial Communication Managerial Communication: Strategies and Applications focuses on communication skills and strategies that managers need to be successful in today’s workplace. Known for its holistic overview of communication, solid research base, and focus on managerial competencies, this text continues to be the market leader in the field. In the Seventh Edition, author Geraldine E. Hynes and new co-author Jennifer R. Veltsos preserve the book’s strategic perspective and include new updates to reflect the modern workplace. The new edition adds a chapter on visual communication that explains how to design documents, memorable presentations, and impactful graphics. New coverage of virtual teams, virtual presentations, and online communication help students avoid common pitfalls when using technology. This is probably the best book on Managerial Communication in the market. –Astrid Sheil, California State University San Bernardino |
| quantitative analysis for managerial decision making: Analytics for Managerial Decision Making , |
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 like …
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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 in …
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 testing of …
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 finer …
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 like …
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 generalizable …
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 in …
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 testing of …
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 finer …
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 …
