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Doubly classified model with R

Tan, Teck Kiang.

Doubly classified model with R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Doubly classified model with R/ by Teck Kiang Tan.
作者:	Tan, Teck Kiang.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xix, 264 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Discriminant analysis. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-6995-6
ISBN:	9789811069956

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

Standard No.: 10.1007/978-981-10-6995-6doiSubjects--Topical Terms:

1116533
Discriminant analysis.

LC Class. No.: QA278

Dewey Class. No.: 519.535

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520 $a 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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