Title Bayesian Inference : Data Evaluation and Decisions Author(s) Harney, Hanns Ludwig Publication Cham, Springer International Publishing, 2016. Description XIII, 243 p. 39 illus., 3 illus. in color : online resource Abstract Note This new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos ISBN,Price 9783319416441 Keyword(s) 1. Computational Mathematics and Numerical Analysis 2. Computer mathematics 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Methods in Physics 6. Medical and Radiation Physics 7. Medical physics 8. NUCLEAR PHYSICS 9. Particle and Nuclear Physics 10. PHYSICS 11. PROBABILITIES 12. Probability Theory and Stochastic Processes 13. RADIATION 14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 15. Statistics?? Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09850     On Shelf