1st Edition
Statistical Inference The Minimum Distance Approach
430 Pages
47 B/W Illustrations
by
Chapman & Hall
430 Pages
47 B/W Illustrations
by
Chapman & Hall
429 Pages
by
Chapman & Hall
Also available as eBook on:
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, Statistical Inference: The Minimum Distance... Read more
Introduction. Statistical Distances. Continuous Models. Measures of Robustness and Computational Issues. The Hypothesis Testing Problem. Techniques for Inlier Modification. Weighted Likelihood Estimation. Multinomial Goodness-of-fit Testing. The Density Power Divergence. Other Applications. Distance Measures in Information and Engineering. Applications to Other Models.
Biography
Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park
