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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbHardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-03877 9780387989532 Sprache: Englisch Gewicht in Gramm: 1150.
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In den Warenkorb2000. 604 p. Unread book. Like new! 9780387989532 Sprache: Englisch Gewicht in Gramm: 1220 Hardcover: 17.8 x 3.5 x 25.4 cm.
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In den WarenkorbZustand: New. In.
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In den WarenkorbZustand: Used. Unused book.?@There is a slight dirt of aging. [wiley 204143].
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In den Warenkorbpaperback. Zustand: Very Good.
Verlag: MP-SIA SIAM - Society for Industrial and Applied M, 2009
ISBN 10: 0898716845 ISBN 13: 9780898716849
Sprache: Englisch
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: Cambridge University Press, 2009
ISBN 10: 0898716845 ISBN 13: 9780898716849
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Brand New. 956 pages. 9.25x6.25x1.75 inches. In Stock.
Verlag: Springer New York, Springer US Jun 2000, 2000
ISBN 10: 0387989536 ISBN 13: 9780387989532
Sprache: Englisch
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In den WarenkorbBuch. Zustand: Neu. Neuware - Probability for Statisticians is intended as a text for a one year graduate course aimed especially at students in statistics. The choice of examples illustrates this intention clearly. The material to be presented in the classroom constitutes a bit more than half the text, and the choices the author makes at the University of Washington in Seattle are spelled out. The rest of the text provides background, offers different routes that could be pursued in the classroom, ad offers additional material that is appropriate for self-study. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic funcion presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. The martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. The author is a professor of Statistics and adjunct professor of Mathematics at the University of Washington in Seattle. He served as chair of the Department of Statistics 1986-- 1989. He received his PhD in Statistics from Stanford University. He is a fellow of the Institute of Mathematical Statistics, and is a former associate editor of the Annals of Statistics.
Verlag: Society for Industrial & Applied Mathematics, 2009
ISBN 10: 0898716845 ISBN 13: 9780898716849
Sprache: Englisch
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In den WarenkorbZustand: New. pp. xli + 956 Illus.
Verlag: Society for Industrial & Applied Mathematics,U.S., 2009
ISBN 10: 0898716845 ISBN 13: 9780898716849
Sprache: Englisch
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In den WarenkorbZustand: New. 2009. Paperback. . . . . . Books ship from the US and Ireland.
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
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In den WarenkorbZustand: New. In English.
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In den WarenkorbZustand: New. Über den AutorGalen R. Shorack is a Professor of Statistics at the University of Washington. He is a Fellow of the Institute of Mathematical Statistics and has written a graduate level text on probability theory. Jon A. Wellner is .
Verlag: Society For Industrial And Applied Mathematics (SIAM) Sep 2009, 2009
ISBN 10: 0898716845 ISBN 13: 9780898716849
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - Originally published in 1986, this valuable reference provides a detailed treatment of limit theorems and inequalities for empirical processes of real-valued random variables. It also includes applications of the theory to censored data, spacings, rank statistics, quantiles, and many functionals of empirical processes, including a treatment of bootstrap methods, and a summary of inequalities that are useful for proving limit theorems.At the end of the Errata section, the authors have supplied references to solutions for 11 of the 19 Open Questions provided in the book's original edition.
Verlag: Springer International Publishing, Springer Nature Switzerland Okt 2017, 2017
ISBN 10: 331952206X ISBN 13: 9783319522067
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Erstausgabe
EUR 160,49
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware -This 2nd edition textbook offers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians¿a textbook for courses in probability for students in mathematical statistics. It is recommended to anyone interested in the probability underlying modern statistics, providing a solid grounding in the probabilistic tools and techniques necessary to do theoretical research in statistics. For the teaching of probability theory to post graduate statistics students, this is one of the most attractive books available.Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic function presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. Martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage.This is a heavily reworked and considerably shortened version of the first edition of this textbook. 'Extra' and background material has been either removed or moved to the appendices and important rearrangement of chapters has taken place to facilitate this book's intended use as a textbook.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 532 pp. Englisch.
Verlag: Springer International Publishing, Springer International Publishing, 2017
ISBN 10: 331952206X ISBN 13: 9783319522067
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 160,49
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This 2nd edition textbookoffers a rigorous introduction to measure theoretic probability with particular attention to topics of interest to mathematical statisticians-a textbook for courses in probability for students in mathematical statistics. It is recommended to anyone interested in the probability underlying modern statistics, providing a solid grounding in the probabilistic tools and techniques necessary to do theoretical research in statistics. For the teaching of probability theory to post graduate statistics students, this is one of the most attractive books available. Of particular interest is a presentation of the major central limit theorems via Stein's method either prior to or alternative to a characteristic function presentation. Additionally, there is considerable emphasis placed on the quantile function as well as the distribution function. The bootstrap and trimming are both presented. Martingale coverage includes coverage of censored data martingales. The text includes measure theoretic preliminaries, from which the authors own course typically includes selected coverage. This is a heavily reworked and considerably shortened version of the first edition of this textbook. 'Extra' and background material has been either removed or moved to the appendices and important rearrangement of chapters has taken place to facilitate this book's intended use as a textbook.