9780521839716 - essentials of statistical inference hardback: 16 (cambridge series in statistical and probabilistic mathematics, series number 16) de young; smith (20 resultados)
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Editorial: Cambridge University Press 2005
Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Hardcover. Condición: As New. Series: Cambridge Series in Statistical and Probabilistic Mathematics. x 225p dark green illustrated cover, pink lettering to spine, excellent copy, like new Language: English.
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Hardcover. Condición: Very Good. No Dustjacket. First Edition. ISBN 0521839718. Hardback. No dustjacket. Bound in Pictorial Boards. Near Fine condition. Tight bright attractive copy with no markings to the book. As new condition. This book is Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic…Mathematics, Series Number 16). No Signature.
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Hardcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 YOU 9780521839716 Sprache: Englisch Gewicht in…Gramm: 1150.
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Condición: New. This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, Sheldon M.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic… Mathematics. Num Pages: 236 pages, 92 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 262 x 180 x 20. Weight in Grams: 568. . 2005. Illustrated. hardcover. . . . .
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Hardback. Condición: New. Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as b…asic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.
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Editorial: Cambridge University Press 2005
Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Condición: New. This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, Sheldon M.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic… Mathematics. Num Pages: 236 pages, 92 exercises. BIC Classification: PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 262 x 180 x 20. Weight in Grams: 568. . 2005. Illustrated. hardcover. . . . . Books ship from the US and Ireland.
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Gebunden. Condición: New. Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize.
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference.
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Hardback. Condición: New. Aimed at advanced undergraduate and graduate students in mathematics and related disciplines, this book presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches, with particular emphasis on the contrasts between them. Computational ideas are explained, as well as b…asic mathematical theory. Written in a lucid and informal style, this concise text provides both basic material on the main approaches to inference, as well as more advanced material on developments in statistical theory, including: material on Bayesian computation, such as MCMC, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems.
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Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Hardcover. Condición: new. Hardcover. This engaging textbook presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplin…es, it covers in a concise treatment both basic mathematical theory and more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems. Some prior knowledge of probability is assumed, while some previous knowledge of the objectives and main approaches to statistical inference would be helpful but is not essential. This textbook presents the concepts and results underlying the Bayesian, frequentist, and Fisherian approaches to statistical inference. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Hardcover. Condición: new. Hardcover. This engaging textbook presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplin…es, it covers in a concise treatment both basic mathematical theory and more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems. Some prior knowledge of probability is assumed, while some previous knowledge of the objectives and main approaches to statistical inference would be helpful but is not essential. Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize material on computational topics with basic mathematical theory. Each chapter includes instructive problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Hardcover. Condición: new. Hardcover. This engaging textbook presents the concepts and results underlying the Bayesian, frequentist and Fisherian approaches to statistical inference, with particular emphasis on the contrasts between them. Aimed at advanced undergraduates and graduate students in mathematics and related disciplin…es, it covers in a concise treatment both basic mathematical theory and more advanced material, including such contemporary topics as Bayesian computation, higher-order likelihood theory, predictive inference, bootstrap methods and conditional inference. It contains numerous extended examples of the application of formal inference techniques to real data, as well as historical commentary on the development of the subject. Throughout, the text concentrates on concepts, rather than mathematical detail, while maintaining appropriate levels of formality. Each chapter ends with a set of accessible problems. Some prior knowledge of probability is assumed, while some previous knowledge of the objectives and main approaches to statistical inference would be helpful but is not essential. Written for advanced undergraduates and graduate students in mathematics and related disciplines, this book explains the main approaches to statistical inference, with particular emphasis on the contrasts between them. It is the first textbook to synthesize material on computational topics with basic mathematical theory. Each chapter includes instructive problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Editorial: Cambridge University Press 2011
Serie: Cambridge Series in Statistical and Probabilistic Mathematics, Libro 10 de 46. Libro 10 de 46 - Cambridge Series in Statistical and Probabilistic Mathematics
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Buch. Condición: Neu. Essentials of Statistical Inference | G. A. Young (u. a.) | Buch | Gebunden | Englisch | 2011 | Cambridge University Press | EAN 9780521839716 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
