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Download the fantastic book titled A Guide to Robust Statistical Methods written by Rand R. Wilcox, 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 "A Guide to Robust Statistical Methods", which was released on 26 November 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.

Summary of A Guide to Robust Statistical Methods by Rand R. Wilcox PDF

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 techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians.


Detail About A Guide to Robust Statistical Methods PDF

  • Author : Rand R. Wilcox
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Total Pages : 335 pages
  • ISBN : 3031417135
  • PDF File Size : 40,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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A Guide to Robust Statistical Methods

A Guide to Robust Statistical Methods
  • Publisher : Springer Nature
  • File Size : 39,6 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 Statistical Procedures

Robust Statistical Procedures
  • Publisher : John Wiley & Sons
  • File Size : 25,6 Mb
  • Release Date : 19 April 1996
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A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the

Robust Statistical Procedures

Robust Statistical Procedures
  • Publisher : SIAM
  • File Size : 50,8 Mb
  • Release Date : 01 January 1996
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Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of

Robust Statistical Methods with R, Second Edition

Robust Statistical Methods with R, Second Edition
  • Publisher : CRC Press
  • File Size : 50,6 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 Statistical Methods with R

Robust Statistical Methods with R
  • Publisher : CRC Press
  • File Size : 54,9 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

Understanding and Applying Basic Statistical Methods Using R

Understanding and Applying Basic Statistical Methods Using R
  • Publisher : John Wiley & Sons
  • File Size : 52,7 Mb
  • Release Date : 16 May 2016
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Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in

Methodology in Robust and Nonparametric Statistics

Methodology in Robust and Nonparametric Statistics
  • Publisher : CRC Press
  • File Size : 41,9 Mb
  • Release Date : 20 July 2012
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Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics,