Filling a longstanding need in the physical sciences, Bayesian
Inference offers the first basic introduction for advanced
undergraduates and graduates in the physical sciences. This text and
reference generalizes Gaussian error intervals to situations in which
the data follow distributions other than Gaussian. This usually occurs
in frontier science because the observed parameter is barely above the
background or the histogram of multiparametric data contains many
empty bins. In this case, 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. Requiring no knowledge
of quantum mechanics, the text is written on introductory level, with
many examples and exercises, for physicists planning to, or working
in, fields such as medical physics, nuclear physics, quantum
mechanics, and chaos.
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Produktdetaljer
ISBN
9783662060063
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter