Robustness Theory And Application
Subtitle: First edition
Edition: Internet Resource
Series: Wiley Series in Probability and Statistics
Publisher: John Wiley & Sons
Published: July 11, 2018
Place of publication: Hoboken, New Jersey, USA
Language: eng
Format: Paperback; Hardcover, Ebook
Number of pages: 240
ISBN-13: 9781118669471; 9781118669372; 9781118669464
Copyright date: ©2018
Description: Providing invaluable insights and guidance, Robustness Theory and Application: 

Offers a balanced presentation of theory and applications within each topic-specific discussion
Features solved examples throughout which help clarify complex and/or difficult concepts
Meticulously links research in maximum likelihood type estimation with the more general M-estimation methodology
Delves into new methodologies which have been developed over the past decade without stinting on coverage of “tried-and-true” methodologies
Includes R and some MATLAB subroutines with accompanying data sets, which help illustrate the power of the methods described
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction to asymptotic convergence --; title: The functional approach --; title: More results on differentiability --; title: Multiple roots --; title: Differentiability and bias reduction --; title: Minimum distance estimation and mixture estimation --; title: L-estimates and trimmed likelihood estimates --; title: Trimmed likelihood for multivariate data --; title: Further directions and conclusion.