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D'Agostini's new book builds an edifice of Bayesian statistical reasoning in the physical sciences on solid foundations. -- Journal of the American Statistical Association
Product Description
This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide — under well-defined assumptions! — with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.
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Inside This Book
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First Sentence:
It is fairly well accepted among physicists that any conclusion which results from a measurement is affected by a degree of uncertainty. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sceptical combination, standard combination rule, frequentistic approach, sensitivity bound, physics quantities, physics quantity, probabilistic meaning, probabilistic results, standard uncertainty, conventional statistics, counting experiments, triangular distribution, probability intervals, probability rules, frontier physics Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Standard Model New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
It is fairly well accepted among physicists that any conclusion which results from a measurement is affected by a degree of uncertainty. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
sceptical combination, standard combination rule, frequentistic approach, sensitivity bound, physics quantities, physics quantity, probabilistic meaning, probabilistic results, standard uncertainty, conventional statistics, counting experiments, triangular distribution, probability intervals, probability rules, frontier physics Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Standard Model New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 13
books:
See all 13 books this book cites
1
book
cites this book:
- Maximum Entropy and Bayesian Methods (Fundamental Theories of Physics) by C.R. Smith in Back Matter (1), and Back Matter (2)
- Maximum Entropy and Bayesian Methods (Fundamental Theories of Physics) by Kenneth M. Hanson in Back Matter (1), and Back Matter (2)
- The Mathematical Theory of Communication by Claude E Shannon in Back Matter
- The Real Thing (Sweet Dreams Series #183) by Elisabet McHugh in Back Matter
- Maximum Entropy and Bayesian Methods (Fundamental Theories of Physics) by Ali Mohammad-Djafari in Back Matter
See all 13 books this book cites
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