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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Alexander Korostelev Wayne State University, Detroit, MI, USA
Olga Korosteleva, California State University, Long Beach, CA, USA
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : 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. . . . . . N° de réf. du vendeur V9780821852835
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Hardback. Etat : 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. N° de réf. du vendeur LU-9780821852835
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Hardcover. Etat : new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780821852835
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Etat : 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. N° de réf. du vendeur V9780821852835
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