Bayesian Statistics: An Introduction - Softcover

Lee, Peter M.

 
9780340814055: Bayesian Statistics: An Introduction
Softcover
ISBN 10: 0340814055 ISBN 13: 9780340814055
Verlag: Hodder Arnold, 2004

Inhaltsangabe

Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee's well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo's theory of reference points.

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Über die Autorin bzw. den Autor

Peter M. Lee is Provost of Wentworth College, University of York, UK.

Von der hinteren Coverseite

Bayesian Statistics is the school of thought that uses all information surrounding the likelihood of an event rather than just that collected experimentally. Among statisticians the Bayesian approach continues to gain adherents and this new edition of Peter Lee s well-established introduction maintains the clarity of exposition and use of examples for which this text is known and praised. In addition, there is extended coverage of the Metropolis-Hastings algorithm as well as an introduction to the use of BUGS (Bayesian Inference Using Gibbs Sampling) as this is now the standard computational tool for such numerical work. Other alterations include new material on generalized linear modelling and Bernardo s theory of reference points.

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Verlag
Hodder Arnold
Erscheinungsdatum
2004
Sprache
Englisch
ISBN 10 
0340814055
ISBN 13 
9780340814055
Einband
Tapa blanda
Auflage
3
Anzahl der Seiten
352
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

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