Statistical Hypothesis Testing in Context: Volume 52 (Hardcover)

Michael P. Fay

ISBN 10: 1108423566 / ISBN 13: 9781108423564

Published by Cambridge University Press, Cambridge, 2022

About this Item

Hardcover. Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use. With over 60 years of applied experience, Fay and Brittain present hypothesis testing and compatible confidence intervals, emphasize strategies to address the reproducibility crisis, and provide methods for proper causal interpretation in scientific research. The book presents a full scope of tools and advice on their appropriate use in practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108423564

Bibliographic Details

Title: Statistical Hypothesis Testing in Context: ...

Publisher: Cambridge University Press, Cambridge

Publication Date: 2022

Binding: Hardcover

Condition: new