Likelihood Bayesian Mcmc Methods by Sorensen Daniel (16 results)
Language: English
Published by New York, Springer, 2002
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Hardcover. Condition: Gut. 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 SOR 9780387954400 Sprache: Engl…isch Gewicht in Gramm: 1235.
Language: English
Published by Springer, 2002
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Language: English
Published by Springer, 2002
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Language: English
Published by Springer, 2002
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Language: English
Published by Springer, 2002
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Language: English
Published by Springer, 2002
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Language: English
Published by Springer, 2002
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Language: English
Published by Springer, Springer, 2002
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Over the last ten years the introduction of computer intensive statistical methods has opened new horizons concerning the probability models that can be fitted to genetic data, the scale of the problems that can be tackled and the nature of the questions…that can be posed. In particular, the application of Bayesian and likelihood methods to statistical genetics has been facilitated enormously by these methods. Techniques generally referred to as Markov chain Monte Carlo (MCMC) have played a major role in this process, stimulating synergies among scientists in different fields, such as mathematicians, probabilists, statisticians, computer scientists and statistical geneticists. Specifically, the MCMC 'revolution' has made a deep impact in quantitative genetics. This can be seen, for example, in the vast number of papers dealing with complex hierarchical models and models for detection of genes affecting quantitative or meristic traits in plants, animals and humans that have been published recently. This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Most students in biology and agriculture lack the formal background needed to learn these modern biometrical techniques. Although a number of excellent texts in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style, and have been written by and addressed to professional statisticians. For this reason, considerable more detail is offered than what may be warranted for a more mathematically apt audience. The book is divided into four parts. Part I gives a review of probability and distribution theory. Parts II and III present methods of inference and MCMC methods. Part IV discusses several models that can be applied in quantitative genetics, primarily from a bayesian perspective.An effort has been made to relate biological to statistical parameters throughout, and examples are used profusely to motivate the developments.
Published by Springer, 2002
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Key background given, including a review of probability and distribution theoryEnables access to the theories for less technically proficient biology and agriculture studentsThe relationship between biological and sta…tistical parameters is .
Language: English
Published by Springer New York, 2002
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Key background given, including a review of probability and distribution theoryEnables access to the theories for less technically proficient biology and agriculture studentsThe relationship between biologic…al and statistical parameters is .
Language: English
Published by Springer, Springer Aug 2002, 2002
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts in the…se areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument. Where most students in biology and agriculture lack the formal background needed to learn these modern biometrical techniques, this text bridges the gap by providing essential background material.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 760 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book, suitable for numerate biologists and for applied statisticians, provides the foundations of likelihood, Bayesian and MCMC methods in the context of genetic analysis of quantitative traits. Although a number of excellent texts… in these areas have become available in recent years, the basic ideas and tools are typically described in a technically demanding style and contain much more detail than necessary. Here, effort has been made to relate biological to statistical parameters throughout, and the book includes extensive examples that illustrate the developing argument. Where most students in biology and agriculture lack the formal background needed to learn these modern biometrical techniques, this text bridges the gap by providing essential background material.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 764 pp. Englisch.
