Directions in Robust Statistics and Diagnostics (Vol 33) (Ima Volumes in Mathematics and Its Applications: [Proceedings, 1989] / Ed. [by] Werner Stahel.) - Hardcover

Hardcover

ISBN 10: 0387975306 ISBN 13: 9780387975306

Publisher: Springer-Verlag New York Inc., 1991

Synopsis

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.

About this title

About the Author

Sanford Weisberg is Professor of Statistics at the University of Minnesota, Twin Cities. He is also director of the University's Statistical Consulting Service for Liberal Arts, and has worked with literally hundreds of social scientists and others on the statistical aspects of their research. Professor Weisberg earned a BA in Statistics from the University of California, Berkeley, and a Ph.D. also in statistics from Harvard University, under the direction of Frederick Mosteller. The author of more than sixty articles, his research has primarily been in the areas of regression analysis, including graphical methods, regression diagnostics, and statistical computing. He is a Fellow of the American Statistical Association and former Chair of its Statistical Computing Section. He is the author or co-author of several books, including Applied Linear Regression (third edition 2005, Wiley), Residuals and Influence in Regression (with R. D. Cook, 1982, Chapman & Hall), Applied Regression Including Computing and Graphics (with R. D. Cook, 1999 Wiley). He has several publications in areas that use statistics including archeology, plant sciences, wildlife management, fisheries, and public affairs.

Synopsis

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Edition details

• Publisher: Springer-Verlag New York Inc.
• Publication date: 1991
• Language: English
• ISBN 10: 0387975306
• ISBN 13: 9780387975306
• Binding: Hardcover
• Number of pages: 252
• Editor: Stahel Werner, Weisberg Sanford