Doubly Classified Model with R

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software, General Computing
Cover of the book Doubly Classified Model with R by Teck Kiang Tan, Springer Singapore
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Teck Kiang Tan ISBN: 9789811069956
Publisher: Springer Singapore Publication: November 11, 2017
Imprint: Springer Language: English
Author: Teck Kiang Tan
ISBN: 9789811069956
Publisher: Springer Singapore
Publication: November 11, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Singapore

Cover of the book Phenomenological Structure for the Large Deviation Principle in Time-Series Statistics by Teck Kiang Tan
Cover of the book Control of Series-Parallel Conversion Systems by Teck Kiang Tan
Cover of the book Vulnerability of Watersheds to Climate Change Assessed by Neural Network and Analytical Hierarchy Process by Teck Kiang Tan
Cover of the book Adult Congenital Heart Disease by Teck Kiang Tan
Cover of the book Informetrics by Teck Kiang Tan
Cover of the book Computational Intelligence in Data Mining by Teck Kiang Tan
Cover of the book Textiles and Clothing Sustainability by Teck Kiang Tan
Cover of the book Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014) by Teck Kiang Tan
Cover of the book Smart Trends in Information Technology and Computer Communications by Teck Kiang Tan
Cover of the book Data Science and Big Data Analytics by Teck Kiang Tan
Cover of the book Innovations in Electronics and Communication Engineering by Teck Kiang Tan
Cover of the book Proceedings of the Third International Forum on Decision Sciences by Teck Kiang Tan
Cover of the book Traces of Fukushima by Teck Kiang Tan
Cover of the book Advances in Computational Intelligence by Teck Kiang Tan
Cover of the book Diachronic Changes Underlying Synchronic Distribution by Teck Kiang Tan
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy