9780387954400 - likelihood, bayesian, and mcmc methods in quantitative genetics di sorensen, daniel; gianola, daniel (11 risultati)
Lingua: Inglese
Editore: New York, Springer, 2002
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Da: Antiquariat Bookfarm, Löbnitz, GermaniaAntiquariat Bookfarm
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 17,99
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Hardcover. Condizione: 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: Eng…lisch Gewicht in Gramm: 1235.
Lingua: Inglese
Editore: Springer, 2002
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Da: Orion Tech, Kingwood, TX, U.S.A.Orion Tech
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EUR 108,26
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hardcover. Condizione: Fair.
Lingua: Inglese
Editore: Springer, 2002
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Da: Solr Books, Lincolnwood, IL, U.S.A.Solr Books
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EUR 102,91
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Condizione: very_good. This book is in Very good condition. There may be a few flaws like shelf wear and some light wear.
Lingua: Inglese
Editore: Springer, 2002
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 194,47
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Condizione: Used. pp. 764.
Lingua: Inglese
Editore: Springer, 2002
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 208,73
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Condizione: Used. pp. 764.
Lingua: Inglese
Editore: Springer, 2002
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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EUR 287,66
Spedizione gratuitaSpedito in U.S.A.Quantità: 10 disponibili
Condizione: Brand New. New. Delivery takes 25-30 days. Excellent Customer Service.
Lingua: Inglese
Editore: Springer, 2002
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 351,16
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Condizione: New. In.
Lingua: Inglese
Editore: Springer, Springer, 2002
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 388,16
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Buch. Condizione: 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.
Lingua: Inglese
Editore: Springer New York, 2002
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Da: moluna, Greven, Germaniamoluna
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EUR 311,76
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Gebunden. Condizione: 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 biologi…cal and statistical parameters is .
Lingua: Inglese
Editore: Springer New York Aug 2002, 2002
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 374,49
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 760 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Aug 2002, 2002
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 374,49
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: 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 th…ese 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.
