Statistical Inference Based on Divergence Measures
eBook - PDF

Statistical Inference Based on Divergence Measures

  1. 512 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Statistical Inference Based on Divergence Measures

About this book

The idea of using functionals of Information Theory, such as entropies or divergences, in statistical inference is not new. However, in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models, many statisticians remain unaware of this p

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Yes, you can access Statistical Inference Based on Divergence Measures by Leandro Pardo in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Preface
  5. Contents
  6. Chapter 1: Divergence Measures: Definition and Properties
  7. Chapter 2: Entropy as a Measure of Diversity: Sampling Distributions
  8. Chapter 3: Goodness-of-fit: Simple Null Hypothesis
  9. Chapter 4: Optimality of Phi-divergence Test Statistics in Goodness-of-fit
  10. Chapter 5: Minimum Phi-divergence Estimators
  11. Chapter 6: Goodness-of-fit: Composite Null Hypothesis
  12. Chapter 7: Testing Loglinear Models Using Phi-divergence Test Statistics
  13. Chapter 8: Phi-divergence Measures in Contingency Tables
  14. Chapter 9: Testing in General Populations
  15. References
  16. Index