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Discrete Multivariate Analysis Theory and Practice

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Cover of 'Discrete Multivariate Analysis Theory and Practice'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Structural Models For Counted Data
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    Chapter 3 Maximum Likelihood Estimates For Complete Tables
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    Chapter 4 Formal Goodness Of Fit: Summary Statistics And Model Selection
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    Chapter 5 Maximum Likelihood Estimation For Incomplete Tables
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    Chapter 6 Estimating The Size Of A Closed Population
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    Chapter 7 Models For Measuring Change
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    Chapter 8 Analysis Of Square Tables: Symmetry And Marginal Homogeneity
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    Chapter 9 Model Selection And Assessing Closeness Of Fit: Practical Aspects
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    Chapter 10 Other Methods For Estimation And Testing In Cross-Classifications
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    Chapter 11 Measures Of Association And Agreement
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    Chapter 12 Pseudo-Bayes Estimates Of Cell Probabilities
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    Chapter 13 Sampling Models For Discrete Data
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    Chapter 14 Asymptotic Methods
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