Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)
Introduction to Robust Estimation and Hypothesis Testing offers a focused introduction to two central areas of statistical analysis. Positioned within statistical modeling and decision science, the book provides readers with a foundation for understanding robust estimation, hypothesis testing, and their role in informed quantitative reasoning.
About This Book
Introduction to Robust Estimation and Hypothesis Testing presents foundational material on robust estimation and hypothesis testing.
The book places these topics within the broader context of statistical modeling and decision science.
It is suited to readers developing their understanding of statistical methods and analytical decision-making.
Rand R. Wilcox is the author.
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