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Case Studies in Bayesian Statistics, Constantine Gatsonis; James S. Hodges; Robert E. K


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Автор: Constantine Gatsonis; James S. Hodges; Robert E. K
Название:  Case Studies in Bayesian Statistics
ISBN: 9780387940434
Издательство: Springer
Классификация:

ISBN-10: 038794043X
Обложка/Формат: Paperback
Страницы: 437
Вес: 0.63 кг.
Дата издания: 11.06.1993
Серия: Lecture Notes in Statistics
Язык: English
Размер: 234 x 156 x 24
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


Statistics: Principles and Methods, 7th Edition

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
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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.

Applied Statistics in the Pharmaceutical Industry / With Case Studies Using S-PLUS

Автор: Millard Steven P., Krause Andreas
Название: Applied Statistics in the Pharmaceutical Industry / With Case Studies Using S-PLUS
ISBN: 0387988149 ISBN-13(EAN): 9780387988146
Издательство: Springer
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Цена: 21661.00 р.
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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).

Case Studies in Environmental Statistics

Автор: Douglas Nychka; Walter W. Piegorsch; Lawrence H. C
Название: Case Studies in Environmental Statistics
ISBN: 038798478X ISBN-13(EAN): 9780387984780
Издательство: Springer
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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.

Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain

Автор: van Boekel M.A.J.S., Stein A., van Bruggen A.H.C.
Название: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain
ISBN: 1402019173 ISBN-13(EAN): 9781402019173
Издательство: Springer
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Цена: 15672.00 р.
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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

Case Studies in Bayesian Statistics, Volume II

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
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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.

Case Studies in Bayesian Statistics

Автор: Constantine Gatsonis; Robert E. Kass; Bradley Carl
Название: Case Studies in Bayesian Statistics
ISBN: 0387986405 ISBN-13(EAN): 9780387986401
Издательство: Springer
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Цена: 20263.00 р.
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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.

Case Studies in Bayesian Statistics

Автор: Constantine Gatsonis; Robert E. Kass; Alicia Carri
Название: Case Studies in Bayesian Statistics
ISBN: 0387954724 ISBN-13(EAN): 9780387954721
Издательство: Springer
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Описание: This volume contains invited case studies with the accompanying discussion as well as contributed papers selected by a refereeing process of 6th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University in October, 2001.

Case Studies in Bayesian Statistics

Автор: Constantine Gatsonis; James S. Hodges; Robert E. K
Название: Case Studies in Bayesian Statistics
ISBN: 0387949909 ISBN-13(EAN): 9780387949901
Издательство: Springer
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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.

Case Studies in Bayesian Statistics

Автор: Constantine Gatsonis; Robert E. Kass; Bradley Carl
Название: Case Studies in Bayesian Statistics
ISBN: 0387951695 ISBN-13(EAN): 9780387951690
Издательство: Springer
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Цена: 20263.00 р.
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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.

The Contribution of Young Researchers to Bayesian Statistics

Автор: Ettore Lanzarone; Francesca Ieva
Название: The Contribution of Young Researchers to Bayesian Statistics
ISBN: 3319020838 ISBN-13(EAN): 9783319020839
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The first Bayesian Young Statisticians Meeting, BAYSM 2013, has provided a unique opportunity for young researchers, M.S.

Bayesian Statistics in Actuarial Science

Автор: Stuart A. Klugman
Название: Bayesian Statistics in Actuarial Science
ISBN: 9048157900 ISBN-13(EAN): 9789048157907
Издательство: Springer
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Цена: 27950.00 р.
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Описание: The two greatest advantages to the actuary of the Bayesian approach are that the method is independent of the model and that interval estimates are as easy to obtain as point estimates. The former attribute means that once one learns how to analyze one problem, the solution to similar, but more complex, problems will be no more difficult.

Understanding Computational Bayesian Statistics

Автор: Bolstad
Название: Understanding Computational Bayesian Statistics
ISBN: 0470046090 ISBN-13(EAN): 9780470046098
Издательство: Wiley
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Цена: 20267.00 р.
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Описание: A hands-on introduction to computational statistics from a Bayesian point of view Providing a solid grounding in statistics while uniquely covering the topics from a Bayesian perspective, Understanding Computational Bayesian Statistics successfully guides readers through this new, cutting-edge approach.


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