Based on a PhD statistics course taught at Wayne State University, this textbook introduces asymptotic minimaxity of estimators, irregular statistical models, solutions to the change-point problem, parametric regression models, and estimation of nonparametric regression functions. The estimation of integral functionals, the influence of higher dimensions, problems of adaptive estimation, and testing of nonparametric hypotheses conclude the book. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)
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Alexander Korostelev Wayne State University, Detroit, MI, USA
Olga Korosteleva, California State University, Long Beach, CA, USA
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Hardback. Zustand: New. This book is designed to bridge the gap between traditional textbooks in statistics and more advanced books that include the sophisticated nonparametric techniques. It covers topics in parametric and nonparametric large-sample estimation theory. The exposition is based on a collection of relatively simple statistical models. It gives a thorough mathematical analysis for each of them with all the rigorous proofs and explanations. The book also includes a number of helpful exercises. Prerequisites for the book include senior undergraduate/beginning graduate-level courses in probability and statistics. Artikel-Nr. LU-9780821852835
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Zustand: New. 2011. Hardcover. Series: Graduate Studies in Mathematics. Num Pages: 246 pages, illustrations. BIC Classification: PBT. Category: (G) General (US: Trade). Dimension: 185 x 258 x 18. Weight in Grams: 618. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9780821852835
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