Publisher Description

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.

Back Cover

This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.

Table of Contents

Introduction to R.- Basic Concepts.- Examining Symmetry of Doubly Classified Table.- Symmetry and Asymmetry Models.- Point-Symmetry Models.- Non-independence Models.- Symmetry + Independence Models.- Modeling Strategy.- Creating Square models.- Summary.  

Feature

Assists readers in understanding doubly classified models clearly without referring to numerous technical resources Provides a pioneering, comprehensive and practical approach with doubly classified models Appeals to academic researchers and industry practitioners alike

Details