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Statistical Decision Theory and Related Topics IV, Shanti S. Gupta; James O. Berger


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Автор: Shanti S. Gupta; James O. Berger
Название:  Statistical Decision Theory and Related Topics IV
ISBN: 9781461387701
Издательство: Springer
Классификация:
ISBN-10: 1461387701
Обложка/Формат: Paperback
Страницы: 418
Вес: 0.61 кг.
Дата издания: 08.11.2011
Язык: English
Размер: 234 x 156 x 23
Основная тема: Statistics
Подзаголовок: Volume 1
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Papers from the 4th Purdue Symposium on Statistical Decision Theory and Related Topics


Statistical Learning for Biomedical Data

Автор: Malley
Название: Statistical Learning for Biomedical Data
ISBN: 0521699096 ISBN-13(EAN): 9780521699099
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.

Data Analysis Using Stata, Third Edition

Автор: Kohler
Название: Data Analysis Using Stata, Third Edition
ISBN: 1597181102 ISBN-13(EAN): 9781597181105
Издательство: Taylor&Francis
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Цена: 11176.00 р.
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Описание:

Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.

The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.

Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.

Asymptotic Methods in Statistical Decision Theory

Автор: Lucien Le Cam
Название: Asymptotic Methods in Statistical Decision Theory
ISBN: 1461293693 ISBN-13(EAN): 9781461293699
Издательство: Springer
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Цена: 33401.00 р.
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Описание: Otherwise the reader is expected to possess some mathematical maturity, but not really a great deal of detailed mathematical knowledge. An "experiment" is a mathe- matical abstraction intended to describe the basic features of an observational process if that process is contemplated in advance of its implementation.

Advances in Statistical Decision Theory and Applications

Автор: S. Panchapakesan; N. Balakrishnan
Название: Advances in Statistical Decision Theory and Applications
ISBN: 1461274958 ISBN-13(EAN): 9781461274957
Издательство: Springer
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Описание: The first editor`s association with Shanti Gupta goes back to 1965 when he came to Purdue to do his Ph.D. The second editor`s association with Shanti Gupta began in 1978 when he started his research in the area of order statistics. During the past twenty years, he has collaborated with Shanti Gupta on several publications.

Statistical Decision Theory and Related Topics IV

Автор: Shanti S. Gupta; James O. Berger
Название: Statistical Decision Theory and Related Topics IV
ISBN: 1461283655 ISBN-13(EAN): 9781461283652
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Papers from the 4th Purdue Symposium on Statistical Decision Theory and Related Topics

Statistical Decision Theory

Автор: F. Liese; Klaus-J. Miescke
Название: Statistical Decision Theory
ISBN: 1441925139 ISBN-13(EAN): 9781441925138
Издательство: Springer
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Цена: 24456.00 р.
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Описание: This brilliant volume is a one-stop shop that presents the main ideas of decision theory in an organized, balanced, and mathematically rigorous manner, while observing statistical relevance. All of the major topics are introduced at an elementary level, then developed incrementally to higher levels.

Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes

Автор: J.A. V?sek
Название: Transactions of the Tenth Prague Conference on Information Theory, Statistical Decision Functions, Random Processes
ISBN: 9401099154 ISBN-13(EAN): 9789401099158
Издательство: Springer
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Цена: 12577.00 р.
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Probability and Statistical Decision Theory

Автор: F. Konecny; J. Mogyor?di; Wolfgang Wertz
Название: Probability and Statistical Decision Theory
ISBN: 9027720894 ISBN-13(EAN): 9789027720894
Издательство: Springer
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Цена: 25149.00 р.
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Multiple Statistical Decision Theory: Recent Developments

Автор: S. S. Gupta; D.-Y. Huang
Название: Multiple Statistical Decision Theory: Recent Developments
ISBN: 0387905723 ISBN-13(EAN): 9780387905723
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The theory and practice of decision making involves infinite or finite number of actions. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field.

Applied Linear Statistical Models with Student CD

Автор: Nachtsheim;Neter;Kutner
Название: Applied Linear Statistical Models with Student CD
ISBN: 0071122214 ISBN-13(EAN): 9780071122214
Издательство: McGraw-Hill
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Цена: 9265.00 р.
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Описание: "Applied Linear Statistical Models", 5e, is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.

Statistical Decision Theory and Related Topics V

Автор: Shanti S. Gupta; James O. Berger
Название: Statistical Decision Theory and Related Topics V
ISBN: 1461276098 ISBN-13(EAN): 9781461276098
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The Fifth Purdue International Symposium on Statistical Decision The- was held at Purdue University during the period of ory and Related Topics June 14-19,1992. The papers are grouped into a total of six parts: Part 1 - Retrospective on Wald`s Decision Theory and Sequential Analysis; Part 4 - Decision Theory and Selection Procedures;

An Introduction to Multivariate Statistical Analysis, Third Edition

Автор: T. W. Anderson
Название: An Introduction to Multivariate Statistical Analysis, Third Edition
ISBN: 0471360910 ISBN-13(EAN): 9780471360919
Издательство: Wiley
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Цена: 27712.00 р.
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Описание: Uses the method of maximum likelihood to a large extent to ensure reasonable, and in some cases optimal procedures. This work treats the basic and important topics in multivariate statistics.


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