Doubly Classified Model with R

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Tan, Teck Kiang (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Tan, Teck Kiang.  |e author. 
245 1 0 |a Doubly Classified Model with R  |h [electronic resource] /  |c by Teck Kiang Tan. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2017. 
300 |a XIX, 264 p. 67 illus., 28 illus. in color.  |b online resource. 
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505 0 |a 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.  . 
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. 
650 0 |a Computer science. 
650 0 |a Mathematical statistics. 
650 0 |a Statistics. 
650 1 4 |a Computer Science. 
650 2 4 |a Probability and Statistics in Computer Science. 
650 2 4 |a Statistical Theory and Methods. 
650 2 4 |a Statistics and Computing/Statistics Programs. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9789811069949 
856 4 0 |u http://dx.doi.org/10.1007/978-981-10-6995-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)