The word robust has been used in many contexts in signal processing. Our treatment
concerns statistical robustness, which deals with deviations from the distributional …

A new edition of this popular text on robust statistics, thoroughly updated to include new and
improved methods and focus on implementation of methodology using the increasingly …

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series
consists of selected books that have been made more accessible to consumers in an effort …

A new edition of the classic, groundbreaking book on robust statistics Over twenty-five years
after the publication of its predecessor, Robust Statistics, Second Edition continues to …

The detection of transiting exoplanets in time-series photometry requires the removal or
modeling of instrumental and stellar noise. While instrumental systematics can be reduced …

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences
provides a two-semester, graduate-level introduction to basic statistical techniques that …

Modern Methods for Robust Regression offers a brief but in-depth treatment of various
methods for detecting and properly handling influential cases in regression analysis. This …

When SIAM contacted me about the preparation of a second edition of this booklet, it
became clear almost immediately that any attempt to rewrite the booklet would invite the …

The computing times of high-breakdown point estimates of multivariate location and scatter
increase rapidly with the number of variables, which makes them impractical for high …

Of related interest. Nonlinear Regression Analysis and its Applications Douglas M. Bates
and Donald G. Watts". an extraordinary presentation of concepts and methods concerning …