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|a Gregory, P. C.
|q (Philip Christopher),
|d 1941-
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|a Bayesian logical data analysis for the physical sciences :
|b a comparative approach with Mathematica support /
|c P.C. Gregory.
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|a Cambridge, UK ;
|a New York :
|b Cambridge University Press,
|c 2005.
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|a 1 online resource (xvii, 468 pages) :
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|a Includes bibliographical references (pages 455-460) and index.
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|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.
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|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.
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|a Bayesian statistical decision theory.
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|a Physical sciences
|x Statistical methods.
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|a Théorie de la décision bayésienne.
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|a Sciences physiques
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|a Methode van Bayes.
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|a Natuurwetenschappen.
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|i Print version:
|a Gregory, P.C. (Philip Christopher), 1941-
|t Bayesian logical data analysis for the physical sciences.
|d Cambridge, UK ; New York : Cambridge University Press, 2005
|z 052184150X
|w (DLC) 2004045930
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