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Can I read Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) on EtoBox?
Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) by Rand R. Wilcox is a nonfiction available to read on EtoBox.
What is Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science) about?
Key Features \* Covers latest developments in robust regression \* Covers latest improvements in ANOVA \* Includes newest rank-based methods \* Describes and illustrated easy to use software Description This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on the R programming language, robust ANOVA (Analysis of Variance) and robust regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Third Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables.
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, Incorporated
- Published
- 2012
- Language
- EN
- ISBN
- 9780123869838
- Category
- nonfiction
- Subjects
- Mathematics, Stem
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