Bayesian Inference - Data Evaluation and Decisions (Hardcover, 2nd ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2016
First published:	2016
Authors:	Hanns Ludwig Harney
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	243
Edition:	2nd ed. 2016
ISBN-13:	978-3-319-41642-7
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics
LSN:	3-319-41642-1
Barcode:	9783319416427

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