Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

Idioma: inglés

Editorial: Humana, 2002

0387954406 / 9780387954400

Serie: Libro 7 de 69 - Statistics for Biology and Health

Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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Descripción del artículo del vendedor

nach der Bestellung gedruckt 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.…

N° de ref. del artículo 9780387954400

Título
Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics
Autor
Daniel Gianola
Editorial
Humana
Año de publicación
2002
Estado
Neu
Encuadernación
Buch
Idioma
inglés
ISBN 10
0387954406
ISBN 13
9780387954400
Edición
3ª Edición
Peso del artículo
1291 gramos
Dimensiones
241x160x45 mm
Serie
Libro 7 de 69: Statistics for Biology and Health

AHA-BUCH GmbH

Einbeck, Alemania

Vendedor de 5 estrellas

Vendedor de AbeBooks desde el 14 de agosto de 2006

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 7 a 10 días hábilesDe 5 a 7 días hábiles
Primer artículoEUR 44,04EUR 60,49
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AHA-BUCH GmbH

Garlebsen 48
Einbeck, Alemania 37574