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Author: Miguel Ángel Canela Publisher: Springer ISBN: 3030175545 Category : Business & Economics Languages : en Pages : 142
Book Description
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.
Author: Miguel Ángel Canela Publisher: Springer ISBN: 3030175545 Category : Business & Economics Languages : en Pages : 142
Book Description
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.
Author: Paolo Brandimarte Publisher: John Wiley & Sons ISBN: 111802348X Category : Mathematics Languages : en Pages : 812
Book Description
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.
Author: Robert Alexander Taggart Publisher: ISBN: Category : Business & Economics Languages : en Pages : 328
Book Description
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.
Author: Bruce I. Jacobs Publisher: McGraw Hill Professional ISBN: 9780071371339 Category : Business & Economics Languages : en Pages : 428
Book Description
Two pioneers and innovators in the money management field present their choice of groundbreaking, peer-reviewed articles on subjects including portfolio engineering and long-short investment strategy. More than just a collection of classic review pieces, however, Equity Management provides new material to introduce, interpret, and integrate the pieces, with an introduction that provides an authoritative overview of the chapters. Important and innovative, it is destined to become the "Graham and Dodd" of quantitative equity investing. About the Authors: Bruce I. Jacobs and Kenneth N. Levy are Principals of Jacobs Levy Equity Management. Based in Florham Park, New Jersey, Jacobs Levy Equity Management is widely recognized as a leading provider of quantitative equity strategies for institutional clients. Jacobs Levy currently manages over $15 billion in various strategies for a prestigious global roster of 50 corporate pension plans, public retirement systems, multi-employer funds, endowments, and foundations, including over 25 of Pensions & Investments' "Top 200 Pension Funds/Sponsors." Bruce I. Jacobs holds a PhD in finance from the Wharton School of the University of Pennsylvania. He is the author of Capital Ideas and Market Realities: Option Replication, Investor Behavior, and Stock Market Crashes and co-editor, with Ken Levy, of Market Neutral Strategies. He serves on the advisory board of the Journal of Portfolio Management. Kenneth N. Levy holds an MBA and an MA in applied economics from the Wharton School of the University of Pennsylvania. He is co-editor, with Bruce Jacobs, of Market Neutral Strategies. A Chartered Financial Analyst, he has served on the CFA Institute's candidate curriculum committee and on the advisory board of POSIT.
Author: Yasar A. Ozcan Publisher: John Wiley & Sons ISBN: 0470449039 Category : Medical Languages : en Pages : 6
Book Description
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.
Author: John C. Goodpasture Publisher: J. Ross Publishing ISBN: 9781932159158 Category : Business & Economics Languages : en Pages : 296
Book Description
Quantitative Methods for the Project Manager is for professional project managers who need to know how to make everyday use of numerical analysis. It combines theory and practices and is designed to be easily applied.
Author: Jeremy Dawson Publisher: SAGE ISBN: 1473952832 Category : Business & Economics Languages : en Pages : 128
Book Description
In Analysing Quantitative Survey Data, Jeremy Dawson introduces you to the key elements of analysing quantitative survey data using classical test theory, the measurement theory that underlies the techniques described in the book. The methodological assumptions, basic components and strengths and limitations of this analysis are explained and with the help of illustrative examples, you are guided through how to conduct the key procedures involved, including reliability analysis, exploratory and confirmatory factor analysis. 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.
Author: Kyle C. Longest Publisher: SAGE Publications ISBN: 1483354059 Category : Social Science Languages : en Pages : 274
Book Description
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.
Author: Miguel Ángel Canela
Author: Miguel Ángel Canela
Author: Render
Author: Paolo Brandimarte
Author: Robert Alexander Taggart
Author: Bruce I. Jacobs
Author: Yasar A. Ozcan
Author: John C. Goodpasture
Author: Jeremy Dawson
Author: John S. Croucher
Author: Kyle C. Longest