Robustness theory and application

Robustness theory and application / Brenton R. Clarke.

A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop data analytical methods, which are resistant to outlying observations in the data, while capable of detecting outliers, robust statistics is extremely useful for so...

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Bibliographic Details
Main Author: Clarke, Brenton R. (Author)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, 2018.
Series:Wiley series in probability and statistics
Subjects:
Robust statistics.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Robust statistics
Online Access:Click for online access
Table of Contents:
  • Introduction to asymptotic convergence
  • The functional approach
  • More results on differentiability
  • Multiple roots
  • Differentiability and bias reduction
  • Minimum distance estimation and mixture estimation
  • L-estimates and trimmed likelihood estimates
  • Trimmed likelihood for multivariate data
  • Further directions and conclusion.

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