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Learning Regression Analysis by Simulation, Kunio Takezawa


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Цена: 6986.00р.
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Автор: Kunio Takezawa
Название:  Learning Regression Analysis by Simulation
ISBN: 9784431543206
Издательство: Springer
Классификация:
ISBN-10: 4431543201
Обложка/Формат: Hardcover
Страницы: 300
Вес: 0.62 кг.
Дата издания: 22.10.2013
Язык: English
Издание: 2014 ed.
Иллюстрации: 88 illustrations, black and white; xii, 300 p. 88 illus.
Размер: 238 x 164 x 23
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free `R` software that illustrate clearly how these methods work to bring intrinsic values of data to the surface.


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.

SMS — A Program Package for Simulation and Gaming of Stochastic Market Processes and Learning Behavior

Автор: U. Witt; J. Perske
Название: SMS — A Program Package for Simulation and Gaming of Stochastic Market Processes and Learning Behavior
ISBN: 354011551X ISBN-13(EAN): 9783540115519
Издательство: Springer
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Цена: 15372.00 р.
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Regression Analysis

Автор: Ashish K. Sen; Muni S. Srivastava
Название: Regression Analysis
ISBN: 3540972110 ISBN-13(EAN): 9783540972112
Издательство: Springer
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Цена: 11878.00 р.
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Описание: Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav- ioral seiences.

Regression Analysis

Автор: Ashish Sen; Muni Srivastava
Название: Regression Analysis
ISBN: 1461287898 ISBN-13(EAN): 9781461287896
Издательство: Springer
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Цена: 12571.00 р.
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Описание: An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications.

Robust Diagnostic Regression Analysis

Автор: Anthony Atkinson; Marco Riani
Название: Robust Diagnostic Regression Analysis
ISBN: 1461270278 ISBN-13(EAN): 9781461270270
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Graphs are used to understand the relationship between a regression model and the data to which it is fitted. As well as illustrating new procedures, the authors develop the theory of the models used, particularly for generalized linear models.

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.

Stochastic Simulation: Algorithms and Analysis

Автор: Asmussen
Название: Stochastic Simulation: Algorithms and Analysis
ISBN: 038730679X ISBN-13(EAN): 9780387306797
Издательство: Springer
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Цена: 6981.00 р.
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Описание: Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first  half of the book focusses on general methods, whereas the second half discusses model-specific algorithms. Given the wide range of  examples, exercises and applications students, practitioners and researchers in  probability, statistics, operations research, economics, finance, engineering  as well as biology and chemistry and physics will find the book of value.  Soren Asmussen is Professor of Applied Probability at Aarhus University, Denmark and Peter Glynn is Thomas Ford Professor of  Engineering at Stanford University. 

Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover

Название: Statistical Methods in Biology: Desing and Analysis of Experiments and Regression 1st Edition, S.J.Welham, S.A. Gezan, S.J. Clark, A. Mead.- Chapman and Hall/CRC; 1 edition (August 22, 2014), 608 pages, Hardover
ISBN: 1439808783 ISBN-13(EAN): 9781439808788
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание:

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.

Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.

By the time you reach the end of the book (and online material) you will have gained:

  • A clear appreciation of the importance of a statistical approach to the design of your experiments,
  • A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
  • Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
  • An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.

The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

Learning Regression Analysis by Simulation

Автор: Kunio Takezawa
Название: Learning Regression Analysis by Simulation
ISBN: 4431561439 ISBN-13(EAN): 9784431561439
Издательство: Springer
Рейтинг:
Цена: 13275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free `R` software that illustrate clearly how these methods work to bring intrinsic values of data to the surface.


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