Ergebnisse für: Multiple hypothesis tests
Hier findest Du Bücher, die sich mit Multiple hypothesis tests beschäftigen.
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 tests, and tests performed o...
This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, nonparametric hypothesis testing is also discussed. Th...
This book provides a comprehensive treatment of the logic behind hypothesis testing. This updated edition covers frequentist (classical) and Bayesian approaches to interpretation of the results of a statistical hypothesis test. In a new chapter, nonparametric hypothesis testing is also discussed. Th...
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 tests, and tests performed o...
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 tests, and tests performed o...
A multiple testing problem occurs when two or more related null hypotheses are tested simultaneously. The classical significance level, which refers to the type I error of an individual test problem, is not suitable for testing a family of hypotheses. This is due to the fact that more than one true ...