Statistical Inference: The Minimum Distance Approach

ISBN-13: 9781420099652 / Angielski / Twarda / 2011 / 429 str.

Basu Ayanendran

Opis

Presents an account of density-based minimum distance methods and their use in statistical inference. This book covers statistical distances, density-based minimum distance methods, discrete and continuous models, asymptotic distributions, robustness, computational issues, residual adjustment functions, and graphical descriptions of robustness.

Spis treści

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.

O autorze

Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park