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Bayesian Logical Data Analysis for t...

Ebooks Corporation.

Bayesian Logical Data Analysis for the Physical Sciences.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Bayesian Logical Data Analysis for the Physical Sciences./
Author:	Gregory, Phil.
Published:	Cambridge :Cambridge University Press, : 2005.,
Description:	488 p.
Subject:	Bayesian statistical decision theory. -
Online resource:	Click here to view book
ISBN:	9780511791277 (electronic bk.)

Bayesian Logical Data Analysis for the Physical Sciences.
Gregory, Phil.

Bayesian Logical Data Analysis for the Physical Sciences.[electronic resource]. - Cambridge :Cambridge University Press,2005. - 488 p.

Cover; Half-title; Title; Copyright; Contents; Preface; Acknowledgements; 1 Role of probability theory in science; 2 Probability theory as extended logic; 3 The how-to of Bayesian inference; 4 Assigning probabilities; 5 Frequentist statistical inference; 6 What is a statistic?; 7 Frequentist hypothesis testing; 8 Maximum entropy probabilities; 9 Bayesian inference with Gaussian errors; 10 Linear model fitting (Gaussian errors); 11 Nonlinear model fitting; 12 Markov chain Monte Carlo; 13 Bayesian revolution in spectral analysis; 14 Bayesian inference with Poisson sampling

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511791277 (electronic bk.)Subjects--Topical Terms:

96593
Bayesian statistical decision theory.
Index Terms--Genre/Form:

96803
Electronic books.

LC Class. No.: QA279.5 .G74 2005eb

Dewey Class. No.: 519.542

Bayesian Logical Data Analysis for the Physical Sciences.
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245 1 0 $a Bayesian Logical Data Analysis for the Physical Sciences. $h [electronic resource].
260 $a Cambridge : $c 2005. $b Cambridge University Press,
300 $a 488 p.
505 0 $a Cover; Half-title; Title; Copyright; Contents; Preface; Acknowledgements; 1 Role of probability theory in science; 2 Probability theory as extended logic; 3 The how-to of Bayesian inference; 4 Assigning probabilities; 5 Frequentist statistical inference; 6 What is a statistic?; 7 Frequentist hypothesis testing; 8 Maximum entropy probabilities; 9 Bayesian inference with Gaussian errors; 10 Linear model fitting (Gaussian errors); 11 Nonlinear model fitting; 12 Markov chain Monte Carlo; 13 Bayesian revolution in spectral analysis; 14 Bayesian inference with Poisson sampling
505 8 $a Appendix A Singular value decompositionAppendix B Discrete Fourier Transforms; Appendix C Difference in two samples; Appendix D Poisson ON/OFF details; Appendix E Multivariate Gaussian from maximum entropy; References; Index
520 $a Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. Background material is provided in appendices and supporting Mathematica notebooks are available.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
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655 7 $a Electronic books. $2 local. $3 96803
710 2 $a Ebooks Corporation. $3 197505
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