Robustness in Statistics

✍ Scribed by Robert L. Launer, Graham N. Wilkinson

Publisher: Elsevier Inc, Academic Press
Year: 1979
Tongue: English
Leaves: 306
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Content:
Inside Front Cover, Page ii
Front Matter, Page iii
Copyright, Page iv
CONTRIBUTORS, Pages vii-viii
PREFACE, Pages ix-x, Robert L. Launer
ABSTRACTS, Pages xi-xvi
An Introduction to Robust Estimation, Pages 1-17, Robert V. Hogg
The Robustness of Residual Displays, Pages 19-32, D.F. Andrews
Robust Smoothing, Pages 33-47, Peter J. Huber
Robust Pitman-like Estimators, Pages 49-60, M. Vernon Johns
Robust Estimation in the Presence of Outliers, Pages 61-74, H.A. David
Study of Robustness by Simulation: Particularly Improvement by Adjustment and Combination, Pages 75-102, John W. Tukey
Robust Techniques for the User, Pages 103-106, John W. Tukey
Application of Robust Regression to Trajectory Data Reduction, Pages 107-126, William S. Agee, Robert H. Turner
Tests for Censoring of Extreme Values (Especially) When Population Distributions Are Incompletely Defined, Pages 127-146, N.L. Johnson
Robust Estimation for Time Series Autoregressions, Pages 147-176, R. Douglas Martin
Robust Techniques in Communication, Pages 177-199, V. David VandeLinde
Robustness in the Strategy of Scientific Model Building, Pages 201-236, G.E.P. Box
A Density—Quantile Function Perspective on Robust Estimation, Pages 237-258, Emmanuel Parzen
Robust Inference—The Fisherian Approach, Pages 259-290, Graham N. Wilkinson
AUTHOR INDEX, Pages 291-292
SUBJECT INDEX, Pages 293-296

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