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Bayesian Logical Data Analysis for the Physical Sciences
A Comparative Approach with Mathematica Support
Taschenbuch von P. C. Gregory
Sprache: Englisch

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Beschreibung
A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005.
A clear exposition of the underlying concepts, containing large numbers of worked examples and problem sets, first published in 2005.
Über den Autor
Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.
Inhaltsverzeichnis
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 (Gaussian errors); 10. Linear model fitting (Gaussian errors); 11. Nonlinear model fitting; 12. Markov Chain Monte Carlo; 13. Bayesian spectral analysis; 14. Bayesian inference (Poisson sampling); Appendix A. Singular value decomposition; Appendix 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.
Details
Erscheinungsjahr: 2011
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780521150125
ISBN-10: 0521150124
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gregory, P. C.
Hersteller: Cambridge University Press
Maße: 244 x 170 x 26 mm
Von/Mit: P. C. Gregory
Erscheinungsdatum: 19.05.2011
Gewicht: 0,834 kg
Artikel-ID: 101095059
Über den Autor
Phil Gregory is Professor Emeritus at the Department of Physics and Astronomy at the University of British Columbia.
Inhaltsverzeichnis
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 (Gaussian errors); 10. Linear model fitting (Gaussian errors); 11. Nonlinear model fitting; 12. Markov Chain Monte Carlo; 13. Bayesian spectral analysis; 14. Bayesian inference (Poisson sampling); Appendix A. Singular value decomposition; Appendix 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.
Details
Erscheinungsjahr: 2011
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780521150125
ISBN-10: 0521150124
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Gregory, P. C.
Hersteller: Cambridge University Press
Maße: 244 x 170 x 26 mm
Von/Mit: P. C. Gregory
Erscheinungsdatum: 19.05.2011
Gewicht: 0,834 kg
Artikel-ID: 101095059
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