Quantitative Management In R D
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| Author | : Yasar A. Ozcan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 6 |
| Release | : 2009-04-20 |
| Genre | : Medical |
| ISBN | : 0470449039 |
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 | : Jeremy Dawson |
| Publisher | : SAGE |
| Total Pages | : 128 |
| Release | : 2016-11-10 |
| Genre | : Business & Economics |
| ISBN | : 1473952832 |
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 | : Charles Scherbaum |
| Publisher | : SAGE |
| Total Pages | : 296 |
| Release | : 2015-02-12 |
| Genre | : Business & Economics |
| ISBN | : 1473917425 |
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.
| Author | : W. Alex Edmonds |
| Publisher | : SAGE Publications |
| Total Pages | : 311 |
| Release | : 2016-04-20 |
| Genre | : Social Science |
| ISBN | : 1483317285 |
The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries.
| Author | : David L. Morgan |
| Publisher | : SAGE Publications |
| Total Pages | : 289 |
| Release | : 2013-06-21 |
| Genre | : Social Science |
| ISBN | : 1483313662 |
Focusing on research designs for projects that collect both qualitative and quantitative data, this practical book discusses strategies for bringing qualitative and quantitative methods together so that their combined strengths accomplish more than is possible with a single method. The approach is broadly interdisciplinary, reflecting the interest in mixed methods research of social scientists from anthropology, communication, criminal justice, education, evaluation, nursing, organizational behavior, psychology, political science, public administration, public health, sociology, social work, and urban studies. In contrast to an "anything goes" approach or a naïve hope that "two methods are better than one," the author argues that projects using mixed methods must pay even more attention to research design than single method approaches. The book’s practical emphasis on mixed methods makes it useful both to active researchers and to students who intend to pursue such a career.
| Author | : Richard Thomas |
| Publisher | : FT Prenticehall |
| Total Pages | : 544 |
| Release | : 1997 |
| Genre | : Business & Economics |
| ISBN | : |
This book covers a comprehensive range of topics in quantitative methods for business students. The opening chapters introduce basic statistical concepts which are used in later chapters in business and management applications. It also includes applications, examples and exercises in SPSS, Lotus and Excel.
| Author | : Thomas S. Coleman |
| Publisher | : John Wiley & Sons |
| Total Pages | : 581 |
| Release | : 2012-03-20 |
| Genre | : Business & Economics |
| ISBN | : 1118235932 |
State of the art risk management techniques and practices—supplemented with interactive analytics All too often risk management books focus on risk measurement details without taking a broader view. Quantitative Risk Management delivers a synthesis of common sense management together with the cutting-edge tools of modern theory. This book presents a road map for tactical and strategic decision making designed to control risk and capitalize on opportunities. Most provocatively it challenges the conventional wisdom that "risk management" is or ever should be delegated to a separate department. Good managers have always known that managing risk is central to a financial firm and must be the responsibility of anyone who contributes to the profit of the firm. A guide to risk management for financial firms and managers in the post-crisis world, Quantitative Risk Management updates the techniques and tools used to measure and monitor risk. These are often mathematical and specialized, but the ideas are simple. The book starts with how we think about risk and uncertainty, then turns to a practical explanation of how risk is measured in today's complex financial markets. Covers everything from risk measures, probability, and regulatory issues to portfolio risk analytics and reporting Includes interactive graphs and computer code for portfolio risk and analytics Explains why tactical and strategic decisions must be made at every level of the firm and portfolio Providing the models, tools, and techniques firms need to build the best risk management practices, Quantitative Risk Management is an essential volume from an experienced manager and quantitative analyst.
| Author | : Richard A. DeFusco |
| Publisher | : John Wiley & Sons |
| Total Pages | : 635 |
| Release | : 2015-10-15 |
| Genre | : Business & Economics |
| ISBN | : 1119104602 |
Your complete guide to quantitative analysis in the investment industry Quantitative Investment Analysis, Third Edition is a newly revised and updated text that presents you with a blend of theory and practice materials to guide you through the use of statistics within the context of finance and investment. With equal focus on theoretical concepts and their practical applications, this approachable resource offers features, such as learning outcome statements, that are targeted at helping you understand, retain, and apply the information you have learned. Throughout the text's chapters, you explore a wide range of topics, such as the time value of money, discounted cash flow applications, common probability distributions, sampling and estimation, hypothesis testing, and correlation and regression. Applying quantitative analysis to the investment process is an important task for investment pros and students. A reference that provides even subject matter treatment, consistent mathematical notation, and continuity in topic coverage will make the learning process easier—and will bolster your success. Explore the materials you need to apply quantitative analysis to finance and investment data—even if you have no previous knowledge of this subject area Access updated content that offers insight into the latest topics relevant to the field Consider a wide range of subject areas within the text, including chapters on multiple regression, issues in regression analysis, time-series analysis, and portfolio concepts Leverage supplemental materials, including the companion Workbook and Instructor's Manual, sold separately Quantitative Investment Analysis, Third Edition is a fundamental resource that covers the wide range of quantitative methods you need to know in order to apply quantitative analysis to the investment process.
| Author | : C. J. Beattie |
| Publisher | : Springer |
| Total Pages | : 352 |
| Release | : 2013-11-11 |
| Genre | : Business & Economics |
| ISBN | : 1489930019 |
Our aim in writing this book has been to present for R&D Managers at all levels the type of quantitative methods that have been developed in recent years for the more efficient management of R&D. Hence, we have sought to write for anyone connected with the control of R&D - from the Directors responsible for the R&D effort of a large organization to the scientist in charge of one or two individual projects. Many of the techniques which we describe have appeared in recent years in the technical journals, often in a largely theoretical form. Few, however, have been made generally available in the management literature, and it has been our intention to fill this need. In doing this, we have concentrated on the tactical aspects of R&D Management - for example, project evaluation and research programme selection. To set these in context, we have also sought briefly to show how the R&D programme stems from the objectives of an organization as regards overall research strategy. We have thus dealt with quantitative management techniques that have seen practical application in R&D laboratories, and have described a number of actual applications to illustrate the method of use in practice. For the sake of simplicity, we have referred to Appendices all detailed mathematics, and other material not essential to an understanding of the main theme. We trust that the reader will discover something of use in these pages.
| Author | : Richard Armand DeFusco |
| Publisher | : Ingram |
| Total Pages | : 776 |
| Release | : 2004 |
| Genre | : Business & Economics |
| ISBN | : |
Designed for use in the CFA program or by investment professionals, this textbook provides a guide to applying quantitative analysis to the investment process. From the perspective of an investment generalist, it covers the knowledge, skills, and abilities needed to utilize quantitative methods. Chapters address the time value of money, discounted cash flow applications, market returns, statistical concepts, probability concepts, probability distributions, sampling and estimation, hypothesis testing, correlation and regression, time series analysis, and portfolio concepts. The authors are CFAs affiliated with universities or private companies. c. Book News Inc.
