Multiple Comparisons is a statistical theory and technique that covers all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control, with real data sets analyzed by computer software packages illustrating the applications.

Format: Paperback / softback
Length: 292 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

Multiple Comparisons is a fundamental statistical technique that enables simultaneous inference and encompasses a wide range of comparisons. It provides the theory and methodologies for conducting all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. In this comprehensive guide, the author delves into the intricacies of confidence intervals, shedding light on various methods and exposing common misconceptions. Through step-by-step explanations and practical examples, the author guides readers toward the appropriate approach for each specific problem. Additionally, the book explores the connections between Multiple Comparisons and bioequivalence, drug stability, and toxicity studies, utilizing real data sets analyzed by computer software packages to illustrate the practical applications presented. This resource is an invaluable tool for researchers, scientists, and practitioners seeking to make informed statistical decisions in their respective fields.
Multiple Comparisons is a crucial statistical technique that enables simultaneous inference and encompasses a wide range of comparisons. It provides the theory and methodologies for conducting all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. In this comprehensive guide, the author delves into the intricacies of confidence intervals, shedding light on various methods and exposing common misconceptions. Through step-by-step explanations and practical examples, the author guides readers toward the appropriate approach for each specific problem. Additionally, the book explores the connections between Multiple Comparisons and bioequivalence, drug stability, and toxicity studies, utilizing real data sets analyzed by computer software packages to illustrate the practical applications presented. This resource is an invaluable tool for researchers, scientists, and practitioners seeking to make informed statistical decisions in their respective fields.

Multiple Comparisons

Introduction

All-Pairwise Comparisons

Multiple Comparisons with the Best

Multiple Comparisons with a Control

Confidence Intervals

Stepwise Methods

Abuses and Misconceptions

Correct Method for Each Problem

Connections with Bioequivalence, Drug Stability, and Toxicity Studies

Real Data Sets Analyzed by Computer Software Packages

Weight: 540g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032478029