Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) - Image 1

£73.64

Elsevier Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)

Name: Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)
Brand: Elsevier
Price: 73.64 GBP
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Higher Education

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Description

Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful ‘how-to’ on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage includes techniques for comparing groups and measuring effect size, current methods for comparing quantiles, and expanded regression methods for both parametric and nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are included to support comprehension and practice. Includes the latest developments in robust regression Provides many new, improved and accessible R functions Offers comprehensive coverage of ANOVA and ANCOVA methods

Product Specifications

Brand: Elsevier
Format: paperback
ASIN: 0128200987
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 19 February 2022
Listed Since: 30 October 2019

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Elsevier Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)

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