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uses of quantitative analysis in business: Quantitative Business Analysis Samuel E. Bodily, 1998 |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: Advances in Quantitative Analysis of Finance and Accounting Cheng F. Lee, 2006 Annotation. Advances in Quantitative Analysis of Finance and Accounting is an annual publication to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and business management. The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession. The papers in this volume cover a wide range of topics including earnings management, management compensation, option theory and application, debt management and interest rate theory, and portfolio diversification. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: Keeping Up with the Quants Thomas H. Davenport, Jinho Kim, 2013-06-11 A renowned thought-leader and a professor of statistics team up to provide the essential tools for enhancing thinking and decision-making in today's workplace in order to be more competitive and successful. 25,000 first printing. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: Quantitative Business Analysis Ron Davis, 2015-05-06 Quantitative Business Analysis is designed for a one semester introductory course in management science that is an undergraduate core requirement in the business curriculum at San Jose State University. The principal topics covered are network models, linear programming, decision analysis, and PERT Monte Carlo simulation. It could also be used in an MBA curriculum. With outstanding video Excel demos that show spreadsheet developments for topics in the book, the text enables students to dive into practical examples using advanced algorithms. With specifics examples like the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis, the accompanying videos are an amazing resource. A unique feature of the book is the presentation an of the correct beta shape parameter formulas for use with PERT Monte Carlo simulation analysis. The beta shape parameter formulas are currently not available in any other management science text since they have only recently appeared in the open literature. |
uses of quantitative analysis in business: Using Stata for Quantitative Analysis Kyle C. Longest, 2014-07-02 Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook. |
uses of quantitative analysis in business: Quantitative Data Analysis Willem Mertens, Amedeo Pugliese, Jan Recker, 2016-10-10 This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in. |
uses of quantitative analysis in business: Economic And Business Analysis: Quantitative Methods Using Spreadsheets Frank S T Hsiao, 2011-04-18 This textbook introduces the computer skills necessary for modern-day undergraduate and graduate students to succeed in economic and business analysis. This self-contained book features innovative applications of Excel commands, equations, formulas, and graphics. In addition, the exposition of the basic concepts, models, and interpretations are presented intuitively and graphically without compromising the rigor of analysis.The book contains numerous engaging and innovative examples and problem sets. Practical applications are also highlighted, including the introduction and discussion of key concepts. They show how Excel can be used to solve theoretical and practical problems. This book will be of interest to students, instructors, and researchers who wish to find out more about the applications of Excel in economics and business.The Instructor's manual is available upon request for all instructors who adopt this book as a course text. Please send your request to sales@wspc.com. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: Business Analytics, Global Edition James R. Evans, 2016-01-29 A balanced and holistic approach to business analytics 'Business Analytics', teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. |
uses of quantitative analysis in business: 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 |
uses of quantitative analysis in business: Social Research Methods Nicholas Walliman, 2006-04-27 Social Research Methods provides student readers with essential help with their research project, with revising for their course exams, preparing and writing course assessment materials, and enhancing and progressing their knowledge and thinking skills in line with course requirements on Research Methods courses. |
uses of quantitative analysis in business: Quantitative Methods for Business C. Donald J. Waters, 1994 For management students this book, designed to be practical rather than theoretical, avoids rigorous mathematics, describing mathematical proofs by example rather than theoretical argument. The text takes a balanced view and relates all topics to real business and management issues. |
uses of quantitative analysis in business: Quantitative Analysis and IBM® SPSS® Statistics Abdulkader Aljandali, 2016-11-08 This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum. |
uses of quantitative analysis in business: Applied Quantitative Analysis in Education and the Social Sciences Yaacov Petscher, Christopher Schatschneider, Donald L. Compton, 2013-03-05 To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting. |
uses of quantitative analysis in business: Business Statistics Using EXCEL and SPSS Nick Lee, Mike Peters, 2015-12-16 Takes the challenging and makes it understandable. The book contains useful advice on the application of statistics to a variety of contexts and shows how statistics can be used by managers in their work.′ - Dr Terri Byers, Assistant Professor, University Of New Brunswick, Canada A book about introductory quantitative analysis, the authors show both how and why quantitative analysis is useful in the context of business and management studies, encouraging readers to not only memorise the content but to apply learning to typical problems. Fully up-to-date with comprehensive coverage of IBM SPSS and Microsoft Excel software, the tailored examples illustrate how the programmes can be used, and include step-by-step figures and tables throughout. A range of ‘real world’ and fictional examples, including The Ballad of Eddie the Easily Distracted and Esha′s Story help bring the study of statistics alive. A number of in-text boxouts can be found throughout the book aimed at readers at varying levels of study and understanding Back to Basics for those struggling to understand, explain concepts in the most basic way possible - often relating to interesting or humorous examples Above and Beyond for those racing ahead and who want to be introduced to more interesting or advanced concepts that are a little bit outside of what they may need to know Think it over get students to stop, engage and reflect upon the different connections between topics A range of online resources including a set of data files and templates for the reader following in-text examples, downloadable worksheets and instructor materials, answers to in-text exercises and video content compliment the book. An ideal resource for undergraduates taking introductory statistics for business, or for anyone daunted by the prospect of tackling quantitative analysis for the first time. |
uses of quantitative analysis in business: Quantitative Analysis for Investment Management Robert Alexander Taggart, 1996 Appropriate for intermediate undergraduate or graduate-level courses in Investments, Investment Management, Security Analysis. It is also suitable as a supplement for such courses as Money and Capital Markets, Fixed Income Securities, Derivative Securities and Portfolio Management. The purpose of the book is to provide a concise overview of the quantitative tools and models that have been most widely used in investment management. It is the premise of the book that many of the most popular quantitative techniques have certain elements in common, and that if these elements can be understood, the reader can gain a working understanding of a wider variety of complex securities and portfolio management techniques. |
uses of quantitative analysis in business: Quantitative Analysis of Questionnaires Steve Humble, 2020-01-08 Bringing together the techniques required to understand, interpret and quantify the processes involved when exploring structures and relationships in questionnaire data, Quantitative Analysis of Questionnaires provides the knowledge and capability for a greater understanding of choice decisions. The ideal companion for non-mathematical students with no prior knowledge of quantitative methods, it highlights how to uncover and explore what lies within data that cannot be achieved through descriptive statistics. This book introduces significance testing, contingency tables, correlations, factor analysis (exploratory and confirmatory), regression (linear and logistic), discrete choice theory and item response theory. Using simple and clear methodology, and rich examples from a range of settings, this book: provides hands-on analysis with data sets from both SPSS and Stata packages; explores how to articulate the calculations and theory around statistical techniques; offers workable examples in each chapter with concepts, applications and proofs to help produce a higher quality of research outputs; discusses the use of formulas in the appendix for those who wish to explore a greater mathematical understanding of the concepts. Quantitative Analysis of Questionnaires is the ideal introductory textbook for any student looking to begin and or improve statistical learning as well as interpretation. |
uses of quantitative analysis in business: Quantitative Methods for Business Decisions Jon Curwin, Roger Slater, David Eadson, 2013-01-21 Provides students with all the tools they need to pass the typical Quantitative Methods course. This title includes chapters that focus on a selection of statistical techniques, illustrated with examples from across business, marketing, economics, finance, and public administration, that may appeal to students across the business spectrum. |
uses of quantitative analysis in business: A Companion to the History of the Book Simon Eliot, Jonathan Rose, 2009-03-30 A COMPANION TO THE HISTORY OF THE BOOK A COMPANION TO THE HISTORY OF THE BOOK Edited by Simon Eliot and Jonathan Rose “As a stimulating overview of the multidimensional present state of the field, the Companion has no peer.” Choice “If you want to understand how cultures come into being, endure, and change, then you need to come to terms with the rich and often surprising history Of the book ... Eliot and Rose have done a fine job. Their volume can be heartily recommended. “ Adrian Johns, Technology and Culture From the early Sumerian clay tablet through to the emergence of the electronic text, this Companion provides a continuous and coherent account of the history of the book. A team of expert contributors draws on the latest research in order to offer a cogent, transcontinental narrative. Many of them use illustrative examples and case studies of well-known texts, conveying the excitement surrounding this rapidly developing field. The Companion is organized around four distinct approaches to the history of the book. First, it introduces the variety of methods used by book historians and allied specialists, from the long-established discipline of bibliography to newer IT-based approaches. Next, it provides a broad chronological survey of the forms and content of texts. The third section situates the book in the context of text culture as a whole, while the final section addresses broader issues, such as literacy, copyright, and the future of the book. Contributors to this volume: Michael Albin, Martin Andrews, Rob Banham, Megan L Benton, Michelle P. Brown, Marie-Frangoise Cachin, Hortensia Calvo, Charles Chadwyck-Healey, M. T. Clanchy, Stephen Colclough, Patricia Crain, J. S. Edgren, Simon Eliot, John Feather, David Finkelstein, David Greetham, Robert A. Gross, Deana Heath, Lotte Hellinga, T. H. Howard-Hill, Peter Kornicki, Beth Luey, Paul Luna, Russell L. Martin Ill, Jean-Yves Mollier, Angus Phillips, Eleanor Robson, Cornelia Roemer, Jonathan Rose, Emile G. L Schrijver, David J. Shaw, Graham Shaw, Claire Squires, Rietje van Vliet, James Wald, Rowan Watson, Alexis Weedon, Adriaan van der Weel, Wayne A. Wiegand, Eva Hemmungs Wirtén. |
uses of quantitative analysis in business: Quantitative Analysis for System Applications Daniel A. McGrath, 2018 |
uses of quantitative analysis in business: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
uses of quantitative analysis in business: 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 |
uses of quantitative analysis in business: Quantitative Methods for Business and Management Frank Dewhurst, 2002 This book offers a complete introductory course in Quantitative Methods, providing students with a thorough grounding in the numerical tools and techniques that are relevant to real-world business applications. Through extensive experience in teaching QM to students of all abilities, the author has developed a coherent, step-by-step methodology that leads by example, helping students both to learn and to apply quantitative methods. |
uses of quantitative analysis in business: Quantitative Analysis RoyM Chiulli, 2018-04-27 Written in a lecture format with solved problems at the end of each chapter, this book surveys quantitative modeling and decision analysis techniques. It serves to familiarize the reader with quantitative techniques utilized in planning and optimizing complex systems, as well as students experiencing the subject for the first time. It can be used by students of business and public administration without a background in calculus as well as engineers with significant scientific training. It allows the reader to comprehend the material through examples and problems and also demonstrates the value and shortcomings of many methods. Quantitative Analysis: An introduction developed out of the author's experience teaching the material to students at the University of California Los Angeles, California State University, Northridge, and the University of Southern California, Los Angeles. |
uses of quantitative analysis in business: Best Practices in Quantitative Methods Jason W. Osborne, 2008 The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the best choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods. |
uses of quantitative analysis in business: Research with Children Michelle O′Reilly, Nisha Dogra, Pablo Daniel Ronzoni, 2013-02-01 Thought-provoking, pertinent and engaging, this book provides an overview of every aspect of carrying out research with children. It is unique in its particular focus on vulnerable groups of children such as those with mental-health problems, physical health problems and learning disabilities, along with young offenders and looked after children. The book helpfully addresses each stage of the research process: -Part I introduces the main elements of doing research with children, including seeking ethical approval for sensitive research topics. -Part II guides the reader through the initial stages of the research project including recruitment issues and communicating with gatekeepers. -Part III outlines the data collection, data analysis, writing up and dissemination stages of research and covers both quantitative and qualitative methods. Filled with practical advice and useful activities for each chapter, this book is an essential resource for any student, academic or professional working with, or doing research with, children. |
uses of quantitative analysis in business: Analyzing Quantitative Data Norman Blaikie, 2003-03-06 For social researchers who need to know what procedures to use under what circumstances in practical research projects, this book does not require an indepth understanding of statistical theory. |
uses of quantitative analysis in business: Foundation Quantitative Methods for Business Mik Wisniewski, Richard Stead, 1996 This book aims to help students bridge the gap between school and university and ensure that not only are the appropriate quantitative skills developed, but also that students develop an understanding of the role of quality management in business. |
uses of quantitative analysis in business: LSC Fundamentals of Quantitative Business Methods: Business Tools and Cases in Mathematics, Descriptive Statistics, and Probability Mark Soskin, James Xander, 1999-08-15 This is the story of a breakthrough in competency-based quantitative business education. Begun in 1991 as part of a college-wide effort to revolutionize business education instruction. The foundations of the new approach were the following four competencies: Teamwork, Communication, Creative Thinking and Adapting to Change. The introductory quantitative methods course occupies a critical position in a competency-based curriculum. An effective quant methods course must challenge students to enlist quantitative techniques to solve business problems and establish a lifelong link between data analysis and business decision making. Like many other business programs, we formerly gave responsibility for teaching business mathematics, descriptive statistics, and probability to departments outside the business college. As elsewhere, we were deeply concerned that business math and basic stat courses were generally ill-suited to our business curriculum needs. For example, out business curriculum made little use of material from the business calculus course required in our program. We also discovered that anxiety about these quantitative courses were so high that many students postponed taking them until right before graduation. By requiring a course whose material was seldom applied, the not so subtle and erroneous message was sent to students that fundamental math, stat, and probability is not useful in business. For competency-based education to be successful, quantitative learning must be effectively linked to the rest of the curriculum. First, only quantitative tools directly useful to solving fundamental business problems were to be included in the new course. To obtain this core of tools, we surveyed our business faculty to identify critical methods and concepts most needed by students in each major business areas. Next, we designed an entirely new course around this essential core of quantitative tools. Finally, a revolutionary textbook was developed that fosters quantitative learning through the four business competencies and emphasizes these core methods and concepts. After several years of classroom trials and student feedback, Fundamentals of Quantitative Business Methods is the end result of this process. This text, now in its third edition, helps students identify how each of the four competencies relates to mathematical and statistical reasoning and business modeling techniques. Some problems and cases may also be used to develop teamwork skills through cooperative learning. By working and studying in teams, students can better assess how well they understand the material and can help each other to learn critical problem-solving skills. |
uses of quantitative analysis in business: 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. |
uses of quantitative analysis in business: Applied Quantitative Analysis for Real Estate Sotiris Tsolacos, Mark Andrew, 2020-09-23 To fully function in today’s global real estate industry, students and professionals increasingly need to understand how to implement essential and cutting-edge quantitative techniques. This book presents an easy-to-read guide to applying quantitative analysis in real estate aimed at non-cognate undergraduate and masters students, and meets the requirements of modern professional practice. Through case studies and examples illustrating applications using data sourced from dedicated real estate information providers and major firms in the industry, the book provides an introduction to the foundations underlying statistical data analysis, common data manipulations and understanding descriptive statistics, before gradually building up to more advanced quantitative analysis, modelling and forecasting of real estate markets. Our examples and case studies within the chapters have been specifically compiled for this book and explicitly designed to help the reader acquire a better understanding of the quantitative methods addressed in each chapter. Our objective is to equip readers with the skills needed to confidently carry out their own quantitative analysis and be able to interpret empirical results from academic work and practitioner studies in the field of real estate and in other asset classes. Both undergraduate and masters level students, as well as real estate analysts in the professions, will find this book to be essential reading. |
uses of quantitative analysis in business: Quantitative Methods for Business Donald Waters, 2011-07-21 Quantitative Methods for Business has been thoroughly revised and updated for this 5th edition, and continues to provide a simple and practical introduction to an area that students can find difficult. The book takes a non-threatening approach to the subject, avoiding excessive mathematics and abstract theory. It shows how to apply quantitative ideas to the real problems faced by managers. The book includes numerous exercises and examples that help students understand the relevance of quantitative ideas to business. Assuming no previous knowledge, the text provides complete coverage for a first course in quantitative methods. |
uses of quantitative analysis in business: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
uses of quantitative analysis in business: Library of Congress Subject Headings Library of Congress, Library of Congress. Subject Cataloging Division, Library of Congress. Office for Subject Cataloging Policy, 2013 |
Semicolons, colons, and dashes - The Writing Center
This handout explains the most common uses of three kinds of punctuation: semicolons (;), colons (:), and dashes (—). After reading the handout, you will be better able to decide when to use …
USES Synonyms: 110 Similar and Opposite Words - Merriam-Webster
Synonyms for USES: utilizes, applies, employs, exploits, operates, harnesses, exercises, draws upon; Antonyms of USES: ignores, neglects, misuses, misapplies, disuses, nonuses, dislikes, …
USE Definition & Meaning | Dictionary.com
The instrument has different uses. the power, right, or privilege of employing or using something. to lose the use of the right eye; to be denied the use of a library card.
Uses vs. Use — What’s the Difference?
Nov 6, 2023 · Understanding the distinction between "uses" and "use" is crucial in both written and spoken English. "Uses" is often associated with lists or discussions of multiple functions, …
113 Synonyms & Antonyms for USES - Thesaurus.com
Find 113 different ways to say USES, along with antonyms, related words, and example sentences at Thesaurus.com.
Uses - definition of uses by The Free Dictionary
A purpose for which something is used: a tool with several uses; a pretty bowl, but of what use is it?
USES - WordReference.com Dictionary of English
The instrument has different uses. the power, right, or privilege of employing or using something: to lose the use of the right eye; to be denied the use of a library card. service or advantage in …
USE | English meaning - Cambridge Dictionary
A food processor has a variety of uses in the kitchen. use for Don't throw that cloth away - you'll find a use for it one day . No, I don't want to buy a boat - I don't have any use for one!
What is another word for uses - WordHippo
Find 638 synonyms for uses and other similar words that you can use instead based on 16 separate contexts from our thesaurus.
USE definition and meaning | Collins English Dictionary
If you use something, you do something with it in order to do a job or to achieve a particular result or effect. Trim off the excess pastry using a sharp knife. [VERB noun] He had simply used a …
Semicolons, colons, and dashes - The Writing Center
This handout explains the most common uses of three kinds of punctuation: semicolons (;), colons (:), and dashes (—). After reading the handout, you will be better able to decide when to use …
USES Synonyms: 110 Similar and Opposite Words - Merriam-Webster
Synonyms for USES: utilizes, applies, employs, exploits, operates, harnesses, exercises, draws upon; Antonyms of USES: ignores, neglects, misuses, misapplies, disuses, nonuses, dislikes, …
USE Definition & Meaning | Dictionary.com
The instrument has different uses. the power, right, or privilege of employing or using something. to lose the use of the right eye; to be denied the use of a library card.
Uses vs. Use — What’s the Difference?
Nov 6, 2023 · Understanding the distinction between "uses" and "use" is crucial in both written and spoken English. "Uses" is often associated with lists or discussions of multiple functions, …
113 Synonyms & Antonyms for USES - Thesaurus.com
Find 113 different ways to say USES, along with antonyms, related words, and example sentences at Thesaurus.com.
Uses - definition of uses by The Free Dictionary
A purpose for which something is used: a tool with several uses; a pretty bowl, but of what use is it?
USES - WordReference.com Dictionary of English
The instrument has different uses. the power, right, or privilege of employing or using something: to lose the use of the right eye; to be denied the use of a library card. service or advantage in …
USE | English meaning - Cambridge Dictionary
A food processor has a variety of uses in the kitchen. use for Don't throw that cloth away - you'll find a use for it one day . No, I don't want to buy a boat - I don't have any use for one!
What is another word for uses - WordHippo
Find 638 synonyms for uses and other similar words that you can use instead based on 16 separate contexts from our thesaurus.
USE definition and meaning | Collins English Dictionary
If you use something, you do something with it in order to do a job or to achieve a particular result or effect. Trim off the excess pastry using a sharp knife. [VERB noun] He had simply used a …