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Directions in Robust Statistics and Diagnostics

Part II

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Directions in Robust Statistics and Diagnostics Werner Stahel
Libristo kod: 01385242
Nakladnici Springer, Berlin, studeni 1990
This IMA Volume in Mathematics and its Applications DIRECTIONS IN ROBUST STATISTICS AND DIAGNOSTICS... Cijeli opis
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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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Informacije o knjizi

Puni naziv Directions in Robust Statistics and Diagnostics
Autor Werner Stahel, Sanford Weisberg
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 1991
Broj stranica 380
EAN 9780387975313
ISBN 0387975314
Libristo kod 01385242
Nakladnici Springer, Berlin
Težina 744
Dimenzije 156 x 234 x 23

Kategorija

Mathematics & Science > Mathematics > Probability & statistics
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