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Author : Robert Parsons
Publisher :
ISBN 13 :
Total Pages : 791 pages
Book Rating : 4.:/5 (989 download)
Download or read book Statistical analysis written by Robert Parsons and published by . This book was released on 1978 with total page 791 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jeffrey Jarrett
Publisher : Allyn & Bacon
ISBN 13 :
Total Pages : 744 pages
Book Rating : 4.:/5 (321 download)
Download or read book Statistical Analysis for Decision Making written by Jeffrey Jarrett and published by Allyn & Bacon. This book was released on 1989 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Morris Hamburg
Publisher : Houghton Mifflin Harcourt P
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.3/5 (97 download)
Download or read book Statistical Analysis for Decision Making written by Morris Hamburg and published by Houghton Mifflin Harcourt P. This book was released on 1977 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: Frequency distributions and summary measures. Introduction to probability. Discrete random variables and probability distributions. Statistical investigations and sampling. Sampling distributions. Estimation. Hypothesis testing. Chi-square tests and analysis of variance. Regression and correlation analysis. Time series. Index numbers. Nonparametric statistics. Decision making using prior information. Decision making using both prior and sample information. Devising optimal strategies prior to sampling. Sequential decision-making procedures. Comparison of classical and Bayesian statistics.
Author : Jeffrey C. Bauer
Publisher : CRC Press
ISBN 13 : 1439800774
Total Pages : 184 pages
Book Rating : 4.4/5 (398 download)
Download or read book Statistical Analysis for Decision Makers in Healthcare written by Jeffrey C. Bauer and published by CRC Press. This book was released on 2017-08-09 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Americans are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services. But while these health pro
Author : Ming-Hui Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1441969446
Total Pages : 631 pages
Book Rating : 4.4/5 (419 download)
Download or read book Frontiers of Statistical Decision Making and Bayesian Analysis written by Ming-Hui Chen and published by Springer Science & Business Media. This book was released on 2010-07-24 with total page 631 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in Bayesian analysis and statistical decision theory is rapidly expanding and diversifying, making it increasingly more difficult for any single researcher to stay up to date on all current research frontiers. This book provides a review of current research challenges and opportunities. While the book can not exhaustively cover all current research areas, it does include some exemplary discussion of most research frontiers. Topics include objective Bayesian inference, shrinkage estimation and other decision based estimation, model selection and testing, nonparametric Bayes, the interface of Bayesian and frequentist inference, data mining and machine learning, methods for categorical and spatio-temporal data analysis and posterior simulation methods. Several major application areas are covered: computer models, Bayesian clinical trial design, epidemiology, phylogenetics, bioinformatics, climate modeling and applications in political science, finance and marketing. As a review of current research in Bayesian analysis the book presents a balance between theory and applications. The lack of a clear demarcation between theoretical and applied research is a reflection of the highly interdisciplinary and often applied nature of research in Bayesian statistics. The book is intended as an update for researchers in Bayesian statistics, including non-statisticians who make use of Bayesian inference to address substantive research questions in other fields. It would also be useful for graduate students and research scholars in statistics or biostatistics who wish to acquaint themselves with current research frontiers.
Author : John C. G. Boot
Publisher :
ISBN 13 :
Total Pages : 674 pages
Book Rating : 4.3/5 (91 download)
Download or read book Statistical Analysis for Managerial Decisions written by John C. G. Boot and published by . This book was released on 1970 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: Textbook on statistical methods used in solving problems prior to decision making in management - covers problems of sampling, estimation, hypothesis testing, regression and correlation, forecasting, statistical methods for quality control, etc., and includes an appendix on the use of computers in statistical analysis. Bibliography pp. 627 to 631.
Author : Samuel Christian Albright
Publisher : South-Western Pub
ISBN 13 : 9780324663501
Total Pages : 1090 pages
Book Rating : 4.6/5 (635 download)
Download or read book Data Analysis & Decision Making with Microsoft Excel written by Samuel Christian Albright and published by South-Western Pub. This book was released on 2009 with total page 1090 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example approach, student-friendly writing style, and complete Excel integration, this quantitative methods text provides you with the tools you need to succeed. Margin notes, boxed-in definitions and formulas in the text, enhanced explanations in the text itself, and stated objectives for the examples found throughout the text make studying easy. Problem sets and cases provide realistic examples that enable you to see the relevance of the material to your future as a business leader. The CD-ROMs packaged with every new book include the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, and RISKOptimizer); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2007.
Author : Robert Stine
Publisher : Pearson
ISBN 13 : 013442445X
Total Pages : 864 pages
Book Rating : 4.1/5 (344 download)
Download or read book Statistics for Business written by Robert Stine and published by Pearson. This book was released on 2015-08-17 with total page 864 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Statistics for Business: Decision Making and Analysis, authors Robert Stine and Dean Foster of the University of Pennsylvania’s Wharton School, take a sophisticated approach to teaching statistics in the context of making good business decisions. The authors show students how to recognize and understand each business question, use statistical tools to do the analysis, and how to communicate their results clearly and concisely. In addition to providing cases and real data to demonstrate real business situations, this text provides resources to support understanding and engagement. A successful problem-solving framework in the 4-M Examples (Motivation, Method, Mechanics, Message) model a clear outline for solving problems, new What Do You Think questions give students an opportunity to stop and check their understanding as they read, and new learning objectives guide students through each chapter and help them to review major goals. Software Hints provide instructions for using the most up-to-date technology packages. The Second Edition also includes expanded coverage and instruction of Excel® 2010.
Author : Lawrence H. Peters
Publisher :
ISBN 13 : 9780132858342
Total Pages : 246 pages
Book Rating : 4.8/5 (583 download)
Download or read book Business Cases in Statistical Decision Making written by Lawrence H. Peters and published by . This book was released on 1994 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting business problems in a case format, this text asks students to make good business decisions based on statistical information. The authors ask the student to evaluate realistic business situations and apply statistical reasoning to solve problems.
Author : Luiz Paulo Fávero
Publisher : Academic Press
ISBN 13 : 0128112174
Total Pages : 1240 pages
Book Rating : 4.1/5 (281 download)
Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero and published by Academic Press. This book was released on 2019-04-11 with total page 1240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Barry Glaz
Publisher : John Wiley & Sons
ISBN 13 : 0891183590
Total Pages : 672 pages
Book Rating : 4.8/5 (911 download)
Download or read book Applied Statistics in Agricultural, Biological, and Environmental Sciences written by Barry Glaz and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.
Author : Morris Hamburg
Publisher : Wadsworth Publishing Company
ISBN 13 :
Total Pages : 984 pages
Book Rating : 4.0/5 ( download)
Download or read book Statistical Analysis for Decision Making written by Morris Hamburg and published by Wadsworth Publishing Company. This book was released on 1994 with total page 984 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is intended for the algebra-based introductory one- or two-term business statistics course found in schools of business or in departments of statistics or mathematics.
Author : James O. Berger
Publisher : Springer Science & Business Media
ISBN 13 : 147574286X
Total Pages : 633 pages
Book Rating : 4.4/5 (757 download)
Download or read book Statistical Decision Theory and Bayesian Analysis written by James O. Berger and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.
Author : Morris Hamburg
Publisher :
ISBN 13 : 9780534510381
Total Pages : 337 pages
Book Rating : 4.5/5 (13 download)
Download or read book Statistical Analysis for Decision Making written by Morris Hamburg and published by . This book was released on 1994-01-01 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : S. Christian Albright
Publisher :
ISBN 13 : 9789814834391
Total Pages : 952 pages
Book Rating : 4.8/5 (343 download)
Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : George Kuttickal Chacko
Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.:/5 (319 download)
Download or read book Applied Statistics in Decision-making written by George Kuttickal Chacko and published by Elsevier Publishing Company. This book was released on 1971 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Silvia Bacci
Publisher : CRC Press
ISBN 13 : 1351621394
Total Pages : 305 pages
Book Rating : 4.3/5 (516 download)
Download or read book Introduction to Statistical Decision Theory written by Silvia Bacci and published by CRC Press. This book was released on 2019-07-11 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal inference. The book is specifically designed to appeal to students and researchers that intend to acquire a knowledge of statistical science based on decision theory. Features Covers approaches for making decisions under certainty, risk, and uncertainty Illustrates expected utility theory and its extensions Describes approaches to elicit the utility function Reviews classical and Bayesian approaches to statistical inference based on decision theory Discusses the role of causal analysis in statistical decision theory
