Robust estimation and testing
Author(s)
Bibliographic Information
Robust estimation and testing
（Wiley series in probability and mathematical statistics）
Wiley, c1990
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Note
"A Wiley-Interscience publication."
Bibliography: p. 329-339
Includes indexes
Description and Table of Contents
Description
An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from which its influence function can be derived and then used to explore the efficiency and robustness properties of the estimator. Mathematical techniques are complemented by computational algorithms and Minitab macros for finding bootstrap and influence function estimates of standard errors of the estimators, robust confidence intervals, robust regression estimates and their standard errors. Includes examples and problems.
Table of Contents
The Field of Statistics.
Estimating Scale--Finite Sample Results.
Estimating Scale--Asymptotic Results.
Location-Dispersion Estimation.
Testing for a Location Parameter.
The Two-Sample Problem.
Regression.
Appendices.
References.
Author Index.
Subject Index.
by "Nielsen BookData"