Introduction to Robust Estimation and Hypothesis Testing (4th Edition)

Download Introduction to Robust Estimation and Hypothesis Testing (4th Edition) written by Rand R. Wilcox in PDF format. This book is under the category Computers and bearing the isbn/isbn13 number 012804733X; 012804781X/9780128047330/ 9780128047811. You may reffer the table below for additional details of the book.

$19.99

SKU: 229754d77991 Category: Tags: ,

Specifications

book-author

Rand R. Wilcox

publisher

Academic Press; 4th edition

file-type

PDF

pages

Pages

language

English

asin

B01MA55GF7

isbn10

012804733X; 012804781X

isbn13

9780128047330/ 9780128047811


Book Description

This is the fourth edition of “Introduction to Robust Estimating and Hypothesis Testing” (PDF) is a “how to” guide that focuses on the implementation of robust tactics leveraging easily accessible technologies. Modern robust strategies provide improved methods for coping with outliers, skewed distribution curvature, and heteroscedasticity, which can give substantial benefits in power as well as to a deeper, more accurate, and more nuanced understanding of the data. These improvements can be found in modern robust strategies. There have been many developments and improvements made since the last edition, which may be found here. They consist of new methods for evaluating teams and quantifying impact measurement, in addition to new methods for evaluating quantiles. There are numerous novel regression strategies that have been incorporated, and these new tactics encompass both parametric and nonparametric approaches. The methodologies connected to ANCOVA have undergone extensive expansion in recent years. In addition to describing novel outcomes associated with the shift operation, this section presents new perspectives on discrete distributions that have a relatively tiny pattern area. The knowledge acquired from conducting research in the real world demonstrates that these tactics have a significant practical significance. More than 1200 functions have been incorporated into the R package that was specifically built for this book.

What’s new in the 4th edition:

 

  • 35 percent of the information was updated before publication
  • Includes the most up-to-date techniques that are primarily ranked
  • Contains the most recent improvements to the ANOVA
  • Describes in detail and provides screenshots of an easy to use software program
  • Includes a great deal of newly added and enhanced R features.
  • Innovative approaches that are adaptable to a wide range of settings are needed.
  • Extensive modifications to incorporate the most recent findings in robust regression analysis

 

 

PLEASE TAKE NOTE That the only component of this offering is the PDF version of the ebook titled “Introduction to Robust Estimating and Hypothesis Testing, Fourth Edition.” There are no access codes contained within.

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