This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U -statistics and M m -estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
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This is an introductory text on a broad class of statistical estimators that are minimizers of convex functions. It covers the basics of U -statistics and M m -estimators and develops their asymptotic properties. It also provides an elementary introduction to resampling, particularly in the context of these estimators. The last chapter is on practical implementation of the methods presented in other chapters, using the free software R.
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