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Introduction to Robust Estimation and Hypothesis Testing

Szerző: Rand Wilcox

Nyelv:

Kötés: Kemény kötésű

Kiadó: Academic Press

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

43 056 Ft

Introduction to Robust Estimating and Hypothesis Testing 4th editonÂ is a â€?how-toâ€™ on the applic...

Információk a könyvről

Szerző

Rand Wilcox

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2016

oldal

810

EAN

9780128047330

ISBN

012804733X

Enbook ID

13920366

Kiadó

Academic Press

Súly

1752

Méretek

202 x 244 x 47

Teljes leírás

Introduction to Robust Estimating and Hypothesis Testing 4th editonÂ is a â€?how-toâ€™ 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 contentCovers many new and improved R functionsNew techniques that deal with a wide range of situations Extensive revisions to cover the latest developments in robust regressionCovers latest improvements in ANOVAIncludes newest rank-based methodsDescribes and illustrated easy to use software