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Doubly classified model with R
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Doubly classified model with R
Record Type:
Electronic resources : Monograph/item
Title/Author:
Doubly classified model with Rby Teck Kiang Tan.
Author:
Tan, Teck Kiang.
Published:
Singapore :Springer Singapore :2017.
Description:
xix, 264 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Discriminant analysis.
Online resource:
http://dx.doi.org/10.1007/978-981-10-6995-6
ISBN:
9789811069956$q(electronic bk.)
Doubly classified model with R
Tan, Teck Kiang.
Doubly classified model with R
[electronic resource] /by Teck Kiang Tan. - Singapore :Springer Singapore :2017. - xix, 264 p. :ill., digital ;24 cm.
Introduction to R -- Basic Concepts -- Examining Symmetry of Doubly Classified Table -- Symmetry and Asymmetry Models -- Point-Symmetry Models -- Non-independence Models -- Symmetry + Independence Models -- Modeling Strategy -- Creating Square models -- Summary.
This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.
ISBN: 9789811069956$q(electronic bk.)
Standard No.: 10.1007/978-981-10-6995-6doiSubjects--Topical Terms:
182521
Discriminant analysis.
LC Class. No.: QA278
Dewey Class. No.: 519.535
Doubly classified model with R
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by Teck Kiang Tan.
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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.
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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.
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EB QA278 .T161 2017 2017
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