Goodness-of-Fit Statistics for Discrete Multivariate Data

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

Author(s): Timothy R.C. Read, Noel A.C. Cressie
Series: Springer Series in Statistics
Edition: 1
Publisher: Springer
Year: 1988

Language: English
Pages: 224

Title Page......Page img001_2R.djvu
Copyright Page......Page img002_1L.djvu
Preface......Page img003_2R.djvu
Contents......Page img004_2R.djvu
1.1. A Unified Approach to Model Testing ......Page img006_2R.djvu
1.2. The Power-Divergence Statistic ......Page img007_1L.djvu
1.3. Outline of the Chapters ......Page img007_2R.djvu
2.1. Modeling Discrete Multivariate Data ......Page img008_2R.djvu
2.2. Testing the Fit of a Model ......Page img010_2R.djvu
2.3. An Example: Time Passage and Memory Recall ......Page img012_1L.djvu
2.4. Applying the Power-Divergence Statistic ......Page img013_1L.djvu
2.5. Power-Divergence Measures in Visual Perception ......Page img014_2R.djvu
3.1. Association Models and Contingency Tables ......Page img015_2R.djvu
3.2. Two-Dimensional Tables: Independence and Homogeneity ......Page img016_1L.djvu
3.3. Loglinear Models for Two and Three Dimensions ......Page img018_2R.djvu
3.4. Parameter Estimation Methods: Minimum Distance Estimation ......Page img020_1L.djvu
3.5. Model Generation: A Characterization of the Loglinear, Linear, and Other Models through Minimum Distance Estimation ......Page img023_1L.djvu
3.6. Model Selection and Testing Strategy for Loglinear Models ......Page img026_1L.djvu
CHAPTER 4 Testing the Models: Large-Sample Results ......Page img028_1L.djvu
4.1. Significance Levels under the Classical (Fixed-Cells) Assumptions ......Page img028_2R.djvu
4.2. Efficiency under the Classical (Fixed-Cells) Assumptions ......Page img032_2R.djvu
4.3. Significance Levels and Efficiency unde rSparseness Assumptions ......Page img034_2R.djvu
4.4. A Summary Comparison of the Power-Divergence Family Members ......Page img037_1L.djvu
4.5. Which Test Statistic? ......Page img037_2R.djvu
5.1. Improved Accuracy through More Accurate Moments ......Page img038_1L.djvu
5.2. A Second-Order Correction Term Applied Directly to the Asymptotic Distribution ......Page img040_1L.djvu
5.3. Four Approximations to the Exact Significance Level: How Do They Compare? ......Page img040_2R.djvu
5.4. Exact Power Comparisons ......Page img044_1L.djvu
5.5. Which Test Statistic? ......Page img045_2R.djvu
6.1. Relative Deviations between Observed and ......Page img046_2R.djvu
6.2. Minimum Magnitude of the Power-Divergence Test Statistic ......Page img047_2R.djvu
6.3. Further Insights into the Accuracy of Large-Sample Approximations ......Page img049_1L.djvu
6.4. Three Illustrations ......Page img050_1L.djvu
6.5. Transforming for Closer Asymptotic Approximations in Contingency Tables withSome Small Expected Cell Frequencies ......Page img052_1L.djvu
6.6. A Geometric Interpretation of the Power-Divergence Statistic ......Page img053_1L.djvu
6.7. Which Test Statistic? ......Page img054_1L.djvu
CHAPTER 7 Links with Other Test Statistics and Measures of Divergence ......Page img055_1L.djvu
7.1. Test Statistics Based on Quantiles and Spacings ......Page img055_2R.djvu
7.2. A Continuous Analogue to the Discrete Test Statistic ......Page img057_2R.djvu
7.3. Comparisons of Discrete and Continuous Test Statistics ......Page img058_2R.djvu
7.4. Diversity and Divergence Measures from Information Theory ......Page img059_1L.djvu
8.1. Hypothesis Testing and Parameter Estimation ......Page img063_1L.djvu
8.2. The Parameter lambda as a Transformation ......Page img065_1L.djvu
8.3. A Generalization of Akaike's Information Criterion ......Page img068_1L.djvu
8.4. The Power-Divergence Statistic as aMeasure of Loss and a Criterion for General Parameter Estimation ......Page img070_1L.djvu
8.5. Generalizing the Multinomial Distribution ......Page img072_1L.djvu
Historical Perspective: Pearson's X2 and the Loglikelihood Ratio Statistic G2 ......Page img072_2R.djvu
1. Small-Sample Comparisons of X2 and G2 under the Classical (Fixed-Cells) Assumptions ......Page img073_1L.djvu
2. Comparing X2 and G2 under Sparseness Assumptions ......Page img076_1L.djvu
3. Efficiency Comparisons ......Page img078_1L.djvu
4. Modified Assumptions and Their Impact ......Page img081_1L.djvu
Appendix: Proofs of Important Results ......Page img083_1L.djvu
Bibliography ......Page img098_2R.djvu
Author Index ......Page img105_2R.djvu
Subject Index ......Page img108_2R.djvu