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Directions in Robust Statistics and Diagnostics - Part II (Hardcover, 1991 ed.)
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Directions in Robust Statistics and Diagnostics - Part II (Hardcover, 1991 ed.)
Series: The IMA Volumes in Mathematics and its Applications, 34
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This IMA Volume in Mathematics and its Applications DIRECTIONS IN
ROBUST STATISTICS AND DIAGNOSTICS is based on the proceedings of
the first four weeks of the six week IMA 1989 summer program
"Robustness, Diagnostics, Computing and Graphics in Statistics." An
important objective of the organizers was to draw a broad set of
statisticians working in robustness or diagnostics into
collaboration on the challenging problems in these areas,
particularly on the interface between them. We thank the organizers
of the robustness and diagnostics program Noel Cressie, Thomas P.
Hettmansperger, Peter J. Huber, R. Douglas Martin, and especially
Werner Stahel and Sanford Weisberg who edited the proceedings. A
vner Friedman Willard Miller, Jr. PREFACE Central themes of all
statistics are estimation, prediction, and making decisions under
uncertainty. A standard approach to these goals is through
parametric mod elling. Parametric models can give a problem
sufficient structure to allow standard, well understood paradigms
to be applied to make the required inferences. If, how ever, the
parametric model is not completely correct, then the standard
inferential methods may not give reasonable answers. In the last
quarter century, particularly with the advent of readily available
computing, more attention has been paid to the problem of inference
when the parametric model used is not correctly specified."
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