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Likelihood, Bayesian and MCMC method...

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Gianola, Daniel.

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Likelihood, Bayesian and MCMC methods in quantitative genetics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Likelihood, Bayesian and MCMC methods in quantitative genetics/ Daniel Sorensen, Daniel Gianola.
Author:	Sorensen, Daniel.
other author:	Gianola, Daniel.
Published:	New York :Springer-Verlag, : c2002.,
Description:	xvii, 740 p. :ill., digital ;24 cm.
Series:	Statistics for biology and health
Contained By:	Springer e-books
Subject:	Bayesian statistical decision theory. -
Online resource:	http://dx.doi.org/10.1007/b98952
ISBN:	9780387227641 (electronic bk.)

Likelihood, Bayesian and MCMC methods in quantitative genetics
Sorensen, Daniel.

Likelihood, Bayesian and MCMC methods in quantitative genetics[electronic resource] /Daniel Sorensen, Daniel Gianola. - New York :Springer-Verlag,c2002. - xvii, 740 p. :ill., digital ;24 cm. - Statistics for biology and health.

ISBN: 9780387227641 (electronic bk.)Subjects--Topical Terms:

551404
Bayesian statistical decision theory.

LC Class. No.: QH438.4.S73 / S675 2002

Dewey Class. No.: 575.60727

Likelihood, Bayesian and MCMC methods in quantitative genetics
LDR:00762nam 2200229 a 45 001 896063
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005 20101130
006 m d
007 cr nn 008maaau
008 101130s2002 nyu s j eng d
020 $a 9780387227641 (electronic bk.)
020 $a 9780387954400 (paper)
035 $a 978-0-387-95440-0
050 0 0 $a QH438.4.S73 $b S675 2002
082 0 0 $a 575.60727 $2 21
100 1 $a Sorensen, Daniel. $3 731095
245 1 0 $a Likelihood, Bayesian and MCMC methods in quantitative genetics $h [electronic resource] / $c Daniel Sorensen, Daniel Gianola.
260 $a New York : $c c2002. $b Springer-Verlag,
300 $a xvii, 740 p. : $b ill., digital ; $c 24 cm.
440 0 $a Statistics for biology and health
650 0 $a Bayesian statistical decision theory. $3 551404
650 0 $a Genetics $x Statistical methods. $3 731073
650 0 $a Markov processes. $3 532104
650 0 $a Monte Carlo method. $3 551308
700 1 $a Gianola, Daniel. $3 1073184
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer e-books
856 4 0 $u http://dx.doi.org/10.1007/b98952
950 $a Mathematics and Statistics

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