ABSTRACT

In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics. However, there are many different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by "Minimum Distance Estimation" is literally huge. Filling a statistical resource gap, Stati

chapter 1|20 pages

Introduction

chapter 2|52 pages

Statistical Distances

chapter 3|42 pages

Continuous Models

chapter 5|28 pages

The Hypothesis Testing Problem

chapter 6|40 pages

Techniques for Inlier Modification

chapter 7|30 pages

Weighted Likelihood Estimation

chapter 8|32 pages

Multinomial Goodness-of-Fit Testing

chapter 9|30 pages

The Density Power Divergence

chapter 10|12 pages

Other Applications

chapter 12|20 pages

Applications to Other Models