Statistical Inference: The Minimum Distance Approach

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

Ayanendranath Basu, Hiroyuki Shioya, Chanseok Park