Statistical Inference Based on Divergence Measures

ISBN-13: 9780367578015 / Angielski / Miękka / 2020 / 512 str.

Leandro Pardo

Opis

Organized in systematic way, Statistical Inference Based on Divergence Measures presents classical problems of statistical inference, such as estimation and hypothesis testing, on the basis of measures of entropy and divergence with applications to multinomial and generation populations. On the basis of divergence measures, this book introduces min

Spis treści

Divergence Measures: Definition and Properties. Entropy as a Measure of Diversity: Sampling Distributions. Goodness of Fit Based on Phi-Divergence Statistics: Simple Null Hypothesis. Optimality of Phi -Divergence Test Statistics in Goodness-of-Fit. Minimum Phi -Divergence Estimators. Goodness-of-Fit based on Phi -Divergence Statistics: Composite Null Hypothesis. Testing Loglinear Models using Phi -Divergence Test Statistics. Phi -Divergence Measures in Contingency Tables. Testing in General Populations. References.

O autorze

Leandro Pardo