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Monte Carlo statistical methods /

Robert, Christian P., (1961-)

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Monte Carlo statistical methods /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Monte Carlo statistical methods // Christian P. Robert, George Casella
Author:	Robert, Christian P.,
other author:	Casella, George
Published:	New York :Springer, : 1999.,
Description:	xxi, 507 p. :ill ;24 cm
Subject:	Mathematical statistics -
ISBN:	038798707X

Monte Carlo statistical methods /
Robert, Christian P.,1961-

Monte Carlo statistical methods /Christian P. Robert, George Casella - New York :Springer,1999. - xxi, 507 p. :ill ;24 cm - Springer texts in statistics. - Springer texts in statistics.

Includes bibliographical references (pages 459-487) and index

Introduction --

"Monte Carlo statistical methods, particularly those based on Markov chains, have now matured to be part of the standard set of techniques used by statisticians. Written as a self-contained logical development of the subject, this book will be suitable as an introduction to the field or as a textbook intended for a second-year graduate course. The reader is not assumed to have any familiarity with Monte Carlo techniques (such as random variable generation), or with any Markov chain theory."--Jacket

ISBN: 038798707XSubjects--Topical Terms:

646437
Mathematical statistics

LC Class. No.: QA276 / .R575 1999

Dewey Class. No.: 519.5

Monte Carlo statistical methods /
LDR:01365cam 22002054a 4500 001 2036356
003 OCoLC
005 20160712064140.0
008 161121t1999 nyua b 001 0 eng
020 $a 038798707X $q (hbk.)
020 $a 9780387987071 $q (hbk.)
040 $a DLC $b eng
050 0 0 $a QA276 $b .R575 1999
082 0 0 $a 519.5 $2 21
100 1 $a Robert, Christian P., $d 1961- $3 1076888
245 1 0 $a Monte Carlo statistical methods / $c Christian P. Robert, George Casella
260 $a New York : $b Springer, $c 1999.
300 $a xxi, 507 p. : $b ill ; $c 24 cm
490 1 0 $a Springer texts in statistics
504 $a Includes bibliographical references (pages 459-487) and index
505 0 # $t Introduction -- $t Random variable generation -- $t Monte Carlo integration -- $t Markov chains -- $t Monte Carlo optimization -- $t The Metropolis-Hastings algorithm -- $t The Gibbs sampler -- $t Diagnosing convergence -- $t Implementation in missing data models.
520 1 $a "Monte Carlo statistical methods, particularly those based on Markov chains, have now matured to be part of the standard set of techniques used by statisticians. Written as a self-contained logical development of the subject, this book will be suitable as an introduction to the field or as a textbook intended for a second-year graduate course. The reader is not assumed to have any familiarity with Monte Carlo techniques (such as random variable generation), or with any Markov chain theory."--Jacket
650 # 0 $a Mathematical statistics $3 646437
650 # 0 $a Monte Carlo method $3 731702
650 # 4 $a Estadística matemática $3 2192449
650 # 4 $a Método de Montecarlo $3 2192450
700 1 # $a Casella, George $3 2192447
830 0 $a Springer texts in statistics $3 2192448