| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
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text file |
| Note |
Online resource; title from PDF title page (EBSCO, viewed November 4, 2015). |
| Bibliography |
Includes bibliographical references. |
| Summary |
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. |
| Contents |
Chapter 1: exact inference for data in 2 by 2 tables; 1.1. independent case with binary outcome; 1.2. dependent case with binary outcome; Chapter 2: exact inference for data from 2 by k tables; 2.1. trend test for independent k groups with binary outcome; 2.2. test for two ordered multinomials; Chapter 3: exact inference for genetics; 3.1. Test for hardy-Weingerg equilibrium. |
| Subject |
Mathematical statistics.
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Sampling (Statistics)
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Échantillonnage (Statistique)
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MATHEMATICS -- Applied.
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MATHEMATICS -- Probability & Statistics -- General.
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Mathematical statistics
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Sampling (Statistics)
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| Other Form: |
Print version: Shan, Guogen. Exact statistical inference for categorical data. Amsterdam : Elsevier, ©2016 0081006810 9780081006818 (OCoLC)913923051 |
| ISBN |
9780128039489 (electronic bk.) |
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0128039485 (electronic bk.) |
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9780081006818 |
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0081006810 |
| Standard No. |
AU@ 000056747811 |
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CHNEW 000893285 |
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CHNEW 001013209 |
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DEBBG BV043216599 |
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DEBBG BV043626016 |
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DEBSZ 482376929 |
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NLGGC 400913887 |
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