Описание: Proceedings of the Frontis workshop on Bayesian Statistics and quality modelling in the agro-food production chain, held in Wageningen, The Netherlands, 1-14 May 2003
Автор: Richard A. Johnson, Gouri K. Bhattacharyya Название: Statistics: Principles and Methods, 7th Edition ISBN: 0470904119 ISBN-13(EAN): 9780470904114 Издательство: Wiley Рейтинг: Цена: 35369.00 р. Наличие на складе: Поставка под заказ.
Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.
Автор: Constantine Gatsonis; James S. Hodges; Robert E. K Название: Case Studies in Bayesian Statistics ISBN: 038794043X ISBN-13(EAN): 9780387940434 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods.
Автор: Constantine Gatsonis; James S. Hodges; Robert E. K Название: Case Studies in Bayesian Statistics, Volume II ISBN: 0387945660 ISBN-13(EAN): 9780387945668 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.
Автор: Constantine Gatsonis; James S. Hodges; Robert E. K Название: Case Studies in Bayesian Statistics ISBN: 0387949909 ISBN-13(EAN): 9780387949901 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This third volume of case studies presents detailed applications of Bayesian statistical analysis. Although the applications are from a variety of areas, the emphasis in this volume is on econometrics. The first two volumes have proved to be valuable references for statistical instructors and data analysts.
Автор: Constantine Gatsonis; Robert E. Kass; Bradley Carl Название: Case Studies in Bayesian Statistics ISBN: 0387951695 ISBN-13(EAN): 9780387951690 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24-25, 1999. INVITED PAPERS The three invited cases studies at the workshop discuss problems in ed- ucational policy, clinical trials design, and environmental epidemiology, respectively.
Автор: Constantine Gatsonis; Robert E. Kass; Bradley Carl Название: Case Studies in Bayesian Statistics ISBN: 0387986405 ISBN-13(EAN): 9780387986401 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cleveland, Lorraine Denby, and Chuanhai LiD use hierarchical modeling with time series components in for customer value analysis (CVA) data from Lucent Technologies. The model provides a full description of the CVA data, with random location and scale effects for survey respondents and longitudinal company effects for each attribute.
Описание: Each year hundreds of new drugs are approved for the marketplace. The approval of a single new drug is the result of years of screening tens of thousands of compounds, performing pre-clinical research on their effects, and designing, implementing, and analyzing the results of clinical trials. This book provides a general guide to statistical methods used in the pharmaceutical industry, and is aimed at graduate students and researchers who want to know more about statistical applications in all phases of the drug development process. The 19 chapters authored by over 30 statisticians working in the industry follow the general sequence of drug development, from pre-clinical research and saftey assessment to dose finding, safety studies, large clinical trials, analysis of health economic data, and fianlly manufacturing and production. Special topics such as single patient analysis and the impact of patient compliance show the broad spectrum of applications of data analysis methods. Each chapter illustrates a practical problem using data from actual studies by describing the study, the data, the methods, and the results. All of the analyses are done with S-PLUS, and the data and code are provided both in appendices to the chapters and on the companion Springer-Verlag web site, making it possible to reproduce the results and extend the analyses. Prior knowledge of the software is not required to follow the analyses. Steven P. Millard is a statistical consultant and also Manager of Consulting Services for MathSoft, Inc. (Data Analysis Products Division.) He has applied statistical methods to projects ranging from quality control in bioassay to measuring water quality to automating home appraisal, and has taught courses in S-PLUS for over 10 years. He is the author of the book Environmental Statistics with S-PLUS (CRC Press) as well as the S-PLUS add-in module ENVIRONMENTALSTATS for S-PLUS. Andreas Krause is a statistical consultant in the pharmaceutical industry and works for Novartis Pharma AG. He has extensive experience in graphical and numerical data analysis as well as programming, has taught numerous classes with and on S-PLUS, and is an S_PLUS user from the early days on. He is also author of the book The Basics of S and S-PLUS (Springer).
Автор: Douglas Nychka; Walter W. Piegorsch; Lawrence H. C Название: Case Studies in Environmental Statistics ISBN: 038798478X ISBN-13(EAN): 9780387984780 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a collection of case studies in the active research area of environmental statistics. A publication sponsored by the National Institute of Statistical Sciences, this volume should be of interest to graduate students and researchers working on environmental problems.
Название: Bayesian Statistics 2e ISBN: 0470141158 ISBN-13(EAN): 9780470141151 Издательство: Wiley Цена: 13226.00 р. Наличие на складе: Поставка под заказ.
Описание: Praise for the First Edition - 'I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to
introduce Bayesian statistics' - "Statistics in Medical Research". '[This book] is written in a lucid conversational style, which is so rare in mathematical writings. It does an excellent job of
presenting Bayesian statistics as a perfectly reasonable approach to elementary problems in statistics' - "STATS: The Magazine for Students of Statistics", American Statistical
Association.
'Bolstad offers clear explanations of every concept and method making the book accessible and valuable to undergraduate and graduate students alike' -
"Journal of Applied Statistics".The use of Bayesian methods in applied statistical analysis has become increasingly popular, yet most introductory statistics texts continue to only present
the subject using frequentist methods. "Introduction to Bayesian Statistics, Second Edition" focuses on Bayesian methods that can be used for inference, and it also addresses how
these methods compare favorably with frequentist alternatives. Teaching statistics from the Bayesian perspective allows for direct probability statements about parameters, and this
approach is now more relevant than ever due to computer programs that allow practitioners to work on problems that contain many parameters.This book uniquely covers the topics
typically found in an introductory statistics book-but from a Bayesian perspective-giving readers an advantage as they enter fields where statistics is used.
This Second Edition
provides: an extended coverage of Poisson and Gamma distributions; two new chapters on Bayesian inference for Poisson observations and Bayesian inference for the standard
deviation for normal observations; a twenty-five percent increase in e
ercises with selected answers at the end of the book; a calculus refresher appendix and a summary on the use of statistical tables; and, new computer exercises that use R functions
and Minitab[registered] macros for Bayesian analysis and Monte Carlo simulations. "Introduction to Bayesian Statistics, Second Edition" is an invaluable textbook for advanced
undergraduate and graduate-level statistics courses as well as a practical reference for statisticians who require a working knowledge of Bayesian statistics.
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