Doubly Classified Model with R / by Teck Kiang Tan.

Format:

Book

Author/Creator:

Tan, Teck Kiang, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Mathematical statistics.

Statistics.

Probability and Statistics in Computer Science.

Statistical Theory and Methods.

Statistics and Computing/Statistics Programs.

Local Subjects:

Probability and Statistics in Computer Science.

Statistical Theory and Methods.

Statistics and Computing/Statistics Programs.

Physical Description:

1 online resource (XIX, 264 pages) : 67 illustrations, 28 illustrations in color

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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.

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. .

Other Format:

Printed edition:

ISBN:

978-981-10-6995-6

9789811069956

Access Restriction:

Restricted for use by site license.