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The Practice of Data Analysis: Essays in Honor of John W. Tukey, Brillinger David R., Fernholz Luisa T., Morgenthal


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Автор: Brillinger David R., Fernholz Luisa T., Morgenthal
Название:  The Practice of Data Analysis: Essays in Honor of John W. Tukey
ISBN: 9780691601595
Издательство: Wiley
Классификация:
ISBN-10: 0691601593
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.49 кг.
Дата издания: 14.07.2014
Серия: Princeton legacy library
Язык: English
Иллюстрации: 10 halftones 1 frontispiece
Размер: 234 x 156 x 19
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: Essays in honor of john w. tukey
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This collection of essays brings together many of the world`s most distinguished statisticians to discuss a wide array of the most important recent developments in data analysis. The book honors John W. Tukey, one of the most influential statisticians of the twentieth century, on the occasion of his eightieth birthday. Contributors, some of them Tu


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.

Categorical Data Analysis

Автор: Agresti Alan
Название: Categorical Data Analysis
ISBN: 0470463635 ISBN-13(EAN): 9780470463635
Издательство: Wiley
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Цена: 20109.00 р.
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Описание: Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis. " Statistics in Medicine "It is a total delight reading this book.

Data Reduction And Error Analysis For The Physical Sciences

Автор: Bevington; Robinson
Название: Data Reduction And Error Analysis For The Physical Sciences
ISBN: 0071199268 ISBN-13(EAN): 9780071199261
Издательство: McGraw-Hill
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Цена: 7377.00 р.
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Описание: Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a variety of numerical and graphical techniques, and emphasizes methods of handling data than theory.

An Introduction to Analysis of Financial Data with R

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 18683.00 р.
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Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.

Correspondence Analysis: Theory, Practice and New Strategies

Автор: Eric J. Beh,Rosaria Lombardo
Название: Correspondence Analysis: Theory, Practice and New Strategies
ISBN: 1119953243 ISBN-13(EAN): 9781119953241
Издательство: Wiley
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Цена: 11872.00 р.
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Описание: A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years.

Methods of Microarray Data Analysis II: Papers from CAMDA `01

Автор: Simon M. Lin (Editor), Kimberly F. Johnson
Название: Methods of Microarray Data Analysis II: Papers from CAMDA `01
ISBN: 1475788312 ISBN-13(EAN): 9781475788310
Издательство: Springer
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Цена: 13974.00 р.
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Описание: In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter.

Statistical Analysis of Financial Data in R

Автор: Carmona, Rene
Название: Statistical Analysis of Financial Data in R
ISBN: 1461487870 ISBN-13(EAN): 9781461487876
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Addressing the most challenging issues faced by financial engineers, this book shows how sophisticated mathematics and modern statistical techniques can be used in concrete financial problems. Includes practical examples solved in the R computing environment.

Missing Data Analysis In Practice

Автор: Raghunathan
Название: Missing Data Analysis In Practice
ISBN: 1482211920 ISBN-13(EAN): 9781482211924
Издательство: Taylor&Francis
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Цена: 11789.00 р.
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Описание:

Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both frequentist and Bayesian perspectives. He describes easy-to-implement approaches, the underlying assumptions, and practical means for assessing these assumptions. Actual and simulated data sets illustrate important concepts, with the data sets and codes available online.

The book underscores the development of missing data methods and their adaptation to practical problems. It mainly focuses on the traditional missing data problem. The author also shows how to use the missing data framework in many other statistical problems, such as measurement error, finite population inference, disclosure limitation, combing information from multiple data sources, and causal inference.

Analysis of longitudinal data

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 8395.00 р.
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Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Analysis of Multivariate and High-Dimensional Data

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.


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