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.

This book provides a comprehensive study on how exact inference can be used to analyze data and the advantages it has over other approaches, introducing both conditional and unconditional exact approaches for the data in 2 by 2 or 2 by k contingency tables.

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.


Book Information
ISBN 9780081006818
Author Guogen Shan
Format Paperback
Page Count 66
Imprint Academic Press Inc.(London) Ltd
Publisher Elsevier Science & Technology
Weight(grams) 1030g