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Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) by Rand R. Wilcox is a mathematics available to read on EtoBox.
What is Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) about?
<i>Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition</i> 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
Who reads Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Rand R. Wilcox
- Publisher
- Academic Press, an imprint of Elsevier
- Published
- 2022
- Language
- EN
- ISBN
- 9780128200995
- Category
- mathematics
- Subjects
- Mathematics, Stem
- Updated
- 2026-03-25
Other editions & translations
- FM.dvi (2008)
- Introduction to Robust Estimation and Hypothesis Testing, Second Edition (Statistical Modeling and Decision Science) (2008)
- Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) (2021)
- Introduction To Robust Estimation And Hypothesis Testing (statistical Modeling And Decision Science) (1997)
- Introduction To Robust Estimation And Hypothesis Testing 4th Edition (2016)
- Introduction To Robust Estimation And Hypothesis Testing 4th Edition (2017)
- Introduction to Robust Estimation and Hypothesis Testing, Second Edition (Statistical Modeling and Decision Science) (2005)
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Browse all works by Rand R. Wilcox
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