Bayesian Methods for the Physical Sciences Learning from Examples in Astronomy and Physics /

• Κύριοι συγγραφείς: Andreon, Stefano (Συγγραφέας), Weaver, Brian (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Springer Series in Astrostatistics, 4
• Θέματα: Statistics.; Physics.; Astronomy.; Astrophysics.; Cosmology.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Astronomy, Astrophysics and Cosmology.; Mathematical Methods in Physics.

Statistical literacy is critical for the modern researcher in Physics and Astronomy. This book empowers researchers in these disciplines by providing the tools they will need to analyze their own data. Chapters in this book provide a statistical base from which to approach new problems, including nu...

Πίνακας περιεχομένων:

• Recipes
• A Bit of Theory
• A Bit of Numerical Computation
• Single Parameter Models
• The Prior
• Multi-parameters Models
• Non-random Data Collection
• Fitting Regression Models
• Model Checking and Sensitivity Analysis
• Bayesian vs Simple Methods
• Appendix: Probability Distributions
• Appendix: The third axiom of probability, conditional probability, independence and conditional independence.