INTRODUCTION TO ROBUST ESTIMATION AND HYPOTHESIS TESTING

Wilcox, Rand R.

ISBN 10: 012804733X ISBN 13: 9780128047330

Published by Elsevier, Amsterdam, 2017

Language: English

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Octavo, 786 pages. In Very Good minus condition. Spine is black with white print. Boards glossy illustrated paper. Slight shelf wear, vendor label on rear. Illustrated: b&w graphs, tables. Note: Shelved in Netdesk Column F, ND-F. 1377451. FP New Rockville Stock. Seller Inventory # 1377451

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Bibliographic Details

Title: INTRODUCTION TO ROBUST ESTIMATION AND ...

Publisher: Elsevier, Amsterdam

Publication Date: 2017

Binding: Hardcover

Edition: Fourth edition.

About this title

Synopsis:

Introduction to Robust Estimating and Hypothesis Testing, 4th Editon, is a ‘how-to’ on the application of robust methods using available software. Modern robust methods provide improved techniques for dealing with outliers, skewed distribution curvature and heteroscedasticity that can provide substantial gains in power as well as a deeper, more accurate and more nuanced understanding of data. Since the last edition, there have been numerous advances and improvements. They include new techniques for comparing groups and measuring effect size as well as new methods for comparing quantiles. Many new regression methods have been added that include both parametric and nonparametric techniques. The methods related to ANCOVA have been expanded considerably. New perspectives related to discrete distributions with a relatively small sample space are described as well as new results relevant to the shift function. The practical importance of these methods is illustrated using data from real world studies. The R package written for this book now contains over 1200 functions.

New to this edition

35% revised content
Covers many new and improved R functions
New techniques that deal with a wide range of situations

Extensive revisions to cover the latest developments in robust regression
Covers latest improvements in ANOVA
Includes newest rank-based methods
Describes and illustrated easy to use software

Review:

This work describes and illustrates modern robust methods for dealing with outliers, skewed distributions, heteroscedasticity and curvature for anyone dealing with methods for studying associations, comparing groups, or analyzing multivariate data

"About this title" may belong to another edition of this title.

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INTRODUCTION TO ROBUST ESTIMATION AND HYPOTHESIS TESTING

Wilcox, Rand R.

Used - Hardcover

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