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ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoHardcover. Condición: VG. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
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Añadir al carritoHardcover. Condición: Fine.
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Publicado por Taylor and Francis Inc, 2015
ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoCondición: fine. couverture cartonnée, moyen format , très bon état. Intérieur comme neuf Coins légèrement frottés. 4047304 - Mathematical Statistics: Basic Ideas and Selected Topics, Volume II, Bickel, Peter J., Chapman And Hall/Crc, 2015.
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Añadir al carritoCondición: fine. couverture cartonnée, moyen format , très bon état. Intérieur comme neuf. 4047247 - Mathematical Statistics: Basic Ideas and Selected Topics, Volume II, Bickel, Peter J., Chapman And Hall/Crc, 2015.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2016
ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoCondición: New. pp. 468.
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ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoCondición: New. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 485 pages, 1 black & white illustrations. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 254 x 178. Weight in Grams: 1043. . 2015. Har/Psc. Hardcover. . . . .
Idioma: Inglés
Publicado por Taylor & Francis Group, 2016
ISBN 10: 1498722687 ISBN 13: 9781498722681
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Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2015
ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoHardback. Condición: New. Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis.The book covers asymptotic efficiency in semiparametric models from the Le Cam and Fisherian points of view as well as some finite sample size optimality criteria based on Lehmann-Scheffé theory. It develops the theory of semiparametric maximum likelihood estimation with applications to areas such as survival analysis. It also discusses methods of inference based on sieve models and asymptotic testing theory. The remainder of the book is devoted to model and variable selection, Monte Carlo methods, nonparametric curve estimation, and prediction, classification, and machine learning topics. The necessary background material is included in an appendix.Using the tools and methods developed in this textbook, students will be ready for advanced research in modern statistics. Numerous examples illustrate statistical modeling and inference concepts while end-of-chapter problems reinforce elementary concepts and introduce important new topics. As in Volume I, measure theory is not required for understanding.The solutions to exercises for Volume II are included in the back of the book.Check out Volume I for fundamental, classical statistical concepts leading to the material in this volume.
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Añadir al carritoCondición: New. Series: Chapman & Hall/CRC Texts in Statistical Science. Num Pages: 485 pages, 1 black & white illustrations. BIC Classification: PBT. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 254 x 178. Weight in Grams: 1043. . 2015. Har/Psc. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritoGebunden. Condición: New. Peter J. Bickel is a professor emeritus in the Department of Statistics and a professor in the Graduate School at the University of California, Berkeley. Dr. Bickel is a member of the American Academy of Arts and Sciences and the Nationa.
Idioma: Inglés
Publicado por Taylor & Francis Inc Nov 2015, 2015
ISBN 10: 1498722687 ISBN 13: 9781498722681
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Añadir al carritoBuch. Condición: Neu. Neuware - Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis.
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Añadir al carritoBuch. Condición: Neu. Mathematical Statistics | Basic Ideas and Selected Topics, Volume II | Kjell A. Doksum (u. a.) | Buch | Chapman & Hall/CRC Texts in Statistical Science | Einband - fest (Hardcover) | Englisch | 2015 | Taylor & Francis Inc | EAN 9781498722681 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2015
ISBN 10: 1498722687 ISBN 13: 9781498722681
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoHardback. Condición: New. Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered in the authors' previous volume. This second volume focuses on inference in non- and semiparametric models. It not only reexamines the procedures introduced in the first volume from a more sophisticated point of view but also addresses new problems originating from the analysis of estimation of functions and other complex decision procedures and large-scale data analysis.The book covers asymptotic efficiency in semiparametric models from the Le Cam and Fisherian points of view as well as some finite sample size optimality criteria based on Lehmann-Scheffé theory. It develops the theory of semiparametric maximum likelihood estimation with applications to areas such as survival analysis. It also discusses methods of inference based on sieve models and asymptotic testing theory. The remainder of the book is devoted to model and variable selection, Monte Carlo methods, nonparametric curve estimation, and prediction, classification, and machine learning topics. The necessary background material is included in an appendix.Using the tools and methods developed in this textbook, students will be ready for advanced research in modern statistics. Numerous examples illustrate statistical modeling and inference concepts while end-of-chapter problems reinforce elementary concepts and introduce important new topics. As in Volume I, measure theory is not required for understanding.The solutions to exercises for Volume II are included in the back of the book.Check out Volume I for fundamental, classical statistical concepts leading to the material in this volume.