Robust Statistical Methods with R Second Edition Book [PDF] Download

Download the fantastic book titled Robust Statistical Methods with R Second Edition written by Jana Jurečková, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Robust Statistical Methods with R Second Edition", which was released on 29 May 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of Robust Statistical Methods with R Second Edition by Jana Jurečková PDF

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures, less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics. Features • Provides a systematic, practical treatment of robust statistical methods • Offers a rigorous treatment of the whole range of robust methods, including the sequential versions of estimators, their moment convergence, and compares their asymptotic and finite-sample behavior • The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests • Illustrates the small sensitivity of the rank procedures in the measurement error model • Emphasizes the computational aspects, supplies many examples and illustrations, and provides the own procedures of the authors in the R software on the book’s website


Detail About Robust Statistical Methods with R Second Edition PDF

  • Author : Jana Jurečková
  • Publisher : CRC Press
  • Genre : Mathematics
  • Total Pages : 254 pages
  • ISBN : 1351975137
  • PDF File Size : 37,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Robust Statistical Methods with R, Second Edition

Robust Statistical Methods with R, Second Edition
  • Publisher : CRC Press
  • File Size : 25,6 Mb
  • Release Date : 29 May 2019
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The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many

Robust Statistics

Robust Statistics
  • Publisher : John Wiley & Sons
  • File Size : 25,6 Mb
  • Release Date : 04 January 2019
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A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software

Robust Statistical Methods with R, Second Edition

Robust Statistical Methods with R, Second Edition
  • Publisher : CRC Press
  • File Size : 22,7 Mb
  • Release Date : 29 May 2019
GET BOOK

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many

Robust Statistical Methods with R

Robust Statistical Methods with R
  • Publisher : CRC Press
  • File Size : 52,9 Mb
  • Release Date : 29 November 2005
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Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied research across a broad spectrum of study, yet

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Robust Nonparametric Statistical Methods
  • Publisher : John Wiley & Sons
  • File Size : 55,6 Mb
  • Release Date : 19 May 1998
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Offering an alternative to traditional statistical procedures which are based on least squares fitting, the authors cover such topics as one and two sample location models, linear models, and multivariate

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing
  • Publisher : Academic Press
  • File Size : 29,8 Mb
  • Release Date : 05 January 2005
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This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides

Fundamentals of Modern Statistical Methods

Fundamentals of Modern Statistical Methods
  • Publisher : Springer Science & Business Media
  • File Size : 23,9 Mb
  • Release Date : 18 March 2010
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Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing
  • Publisher : Academic Press
  • File Size : 40,9 Mb
  • Release Date : 12 January 2012
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"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA)

A Guide to Robust Statistical Methods

A Guide to Robust Statistical Methods
  • Publisher : Springer Nature
  • File Size : 28,8 Mb
  • Release Date : 26 November 2023
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Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic

Robust Nonparametric Statistical Methods

Robust Nonparametric Statistical Methods
  • Publisher : CRC Press
  • File Size : 27,6 Mb
  • Release Date : 20 December 2010
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Presenting an extensive set of tools and methods for data analysis, Robust Nonparametric Statistical Methods, Second Edition covers univariate tests and estimates with extensions to linear models, multivariate models, times