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Comprehensive treatment of hypothesis testing logic enables deep understanding of statistical methods
Covers both frequentist and Bayesian approaches to provide flexible interpretation options
Analyzes pitfalls and methods for interpreting results with accumulating data for advanced applications
Clear explanations of p-values and statistical significance for practical application
Suitable for researchers, graduate students, and professionals needing statistical interpretation skills
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Synthesis Lectures on Mathematics & Statistics Hirsch, Robert
This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis te