Synopsis
In robust statistics new procedures which have been derived from theoretical considerations are beginning to find their way into applications. Diagnostics have been designed to supplement standard methodology with both graphical and non-graphical procedures. Many diagnostics, particularly graphical ones, have been generally included in common computing packages. A theoretical basis for some diagnostics methods; however, has been a recent development and is the topic of a large part of this volume. Much of both robust estimation and diagnostics finds its beginnings in the work of John W. Tukey; one of his papers in Part II "Graphical Displays for Alternate Regression Fits", contributes to the interplay between the two fields.
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.
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