| Description |
1 online resource (xvii, 468 pages) : illustrations |
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text file |
| Bibliography |
Includes bibliographical references (pages 455-460) and index. |
| Summary |
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. |
| Contents |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Mathematica (Computer file)
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Mathematica (Computer file) |
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Mathematica (Logiciel) |
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Mathematica (Computer file) |
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Bayesian statistical decision theory.
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Bayesian statistical decision theory. |
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Physical sciences -- Statistical methods.
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Physical sciences -- Statistical methods. |
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Physical sciences. |
| Genre/Form |
Electronic books.
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Electronic book.
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| Other Form: |
Print version: Gregory, P.C. (Philip Christopher), 1941- Bayesian logical data analysis for the physical sciences. Cambridge, UK ; New York : Cambridge University Press, 2005 052184150X (DLC) 2004045930 (OCoLC)54953061 |
| ISBN |
052184150X |
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9780521841504 |
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0511082282 (electronic book) |
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9780511082283 (electronic book) |
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0511081839 (electronic book ; Adobe Reader) |
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9780511081835 (electronic book ; Adobe Reader) |
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9780511791277 (electronic book) |
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0511791275 (electronic book) |
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9780511197178 (e-book) |
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0511197179 (e-book) |
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