Description: The book is based on Bayes' theorem, symmetry anddifferential geometry and provides a generalization of Gaussian error intervals tosituations where the data follow non-Gaussian distributions. Thisusually occurs in frontier science, where the observed parameter isjust above background or the histogram of multiparametric datacontains empty bins. Then the validity of a theorycannot be decided by the chi-squared-criterion, but this long-standingproblem is solved here. In addition to solutions of practical problems, the textprovides an epistemic insight: The logic of quantum mechanics isobtained as the logic of unbiased inference from counting data.However, no knowledge of quantum mechanics is required. The text,examples and exercises are written at an introductory level. PROCEEDS BENEFIT OUR LOCAL LIBRARY PROGRAMS - THANK YOU! Please visit our store for more titles.https://www.ebay.com/usr/friendsofthepaloaltolibrary
Price: 36 USD
Location: Palo Alto, California
End Time: 2024-11-24T05:15:26.000Z
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Country/Region of Manufacture: Germany
Educational Level: Adult & Further Education
Level: Advanced
Item Length: 9.3 in
Item Width: 6.1 in
Author: H. L. Harney
Publication Name: Bayesian Inference : Parameter Estimation and Decisions
Format: Hardcover
Language: English
Subject: Physics / Quantum Theory, Probability & Statistics / General, Physics / Mathematical & Computational, Probability & Statistics / Bayesian Analysis, Information Technology
Publisher: Springer
Publication Year: 2003
Series: Advanced Texts in Physics Ser.
Type: Textbook
Subject Area: Computers, Science, Mathematics
Item Weight: 44.8 Oz
Number of Pages: Xiii, 263 Pages
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