Exact Statistical Inference for Categorical Data

Guogen Shan

ISBN 10: 0081006810 / ISBN 13: 9780081006818

Published by Elsevier Science Dez 2015, 2015

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware - Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure. 66 pp. Englisch.

Seller Inventory # 9780081006818

Bibliographic Details

• Title: Exact Statistical Inference for Categorical Data
• Publisher: Elsevier Science Dez 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 0081006810
• ISBN 13: 9780081006818
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure.

• Demonstrates how exact inference can be used to analyze data in 2 by 2 tables
• Discusses the analysis of data in 2 by k tables using exact inference
• Explains how exact inference can be used in genetics

About the Author

Guogen Shan is an Assistant Professor at the School of Community Health Sciences, University of Nevada Las Vegas. His research interests include the development of adaptive clinical trials, exact testing procedures, and efficient parametric and non-parametric statistical inferences.