<p><P>Now available in paperback.</P></p>
Exact Statistical Inference for Categorical Data
โ Scribed by Shan, Guogen
- Publisher
- Elsevier, Academic Press
- Year
- 2016
- Tongue
- English
- Leaves
- 60
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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
โฆ Table of Contents
Content:
Front Matter,Copyright,List of Figures,List of Tables,PrefaceEntitled to full textChapter 1 - Exact Statistical Inference for a 2 ร 2 Table, Pages 1-27
Chapter 2 - Exact Statistical Inference for a 2 ร K Table, Pages 29-42
Chapter 3 - Sample Size Determination Using Exact Approaches, Pages 43-46
Conclusions, Pages 47-48
Bibliography, Pages 49-54
โฆ Subjects
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This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers
This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers