Robust Statistical Procedures: Asymptotics and Interrelations
John Wiley & Sons, 19 квіт. 1996 р. - 466 стор.
A broad and unified methodology for robust statistics—with exciting new applications
Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians. This innovative book unifies the many varied, yet related, concepts of robust statistics under a sound theoretical modulation. It seamlessly integrates asymptotics and interrelations, and provides statisticians with an effective system for dealing with the interrelations between the various classes of procedures.
Drawing on the expertise of researchers from around the world, and covering over a decade's worth of developments in the field, Robust Statistical Procedures: Asymptotics and Interrelations:
Self-contained and rounded in approach, this book is invaluable for both applied statisticians and theoretical researchers; for graduate students in mathematical statistics; and for anyone interested in the influence of this methodology.
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Introduction and Synopsis
Robust Estimation of Location and Regression
Asymptotic Representations for LEstimators
Asymptotic Representations for MEstimators
Asymptotic Representations for REstimators
Asymptotic Interrelations of Estimators