Statistical Inference

Book Title: Statistical Inference: The Minimum Distance Approach
Author: BASU
Brand: CRC Press
Edition: First Edition
Binding: Paperback
Number Of Pages: 432
Release Date: 19-07-2011
EAN: 9780367487690
Languages: English

Details:
Statistical Inference: The Minimum Distance Approach explores the concept of estimation using minimum distance methods, providing a comprehensive overview of developments in density-based minimum distance inference for independently and identically distributed data. This book fills a significant gap in statistical resources, offering insights into both discrete and continuous models, and discussing their robustness properties.

Key topics include:

• Estimation and hypothesis testing for both discrete and continuous models.

• The robustness properties and structural geometry of minimum distance methods.

• Addressing the inlier problem, weighted likelihood estimation, and solutions to common challenges.

• Extension of the minimum distance approach to interdisciplinary fields such as neural networks, fuzzy sets, and specialized problems like semi-parametric models, mixture models, grouped data, and survival analysis.

This thorough resource is ideal for researchers and scientists, offering a deep understanding of statistical distances, graphical descriptions of robustness, personalized and combined distances, as well as computational issues in statistical inference.