Jaynes papers probability statistics (9 resultados)
Idioma: Inglés
Editorial: Springer, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Idioma: Inglés
Editorial: D. Reidel Publishing Company, 1983
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9027714487.
Idioma: Inglés
Editorial: Springer, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Idioma: Inglés
Editorial: Springer, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Paperback. Condición: New. In shrink wrap. Looks like an interesting title.
Idioma: Inglés
Editorial: Springer, Springer, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le.… , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.
Idioma: Inglés
Editorial: Springer, 1983
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Hardcover. Condición: new. New Copy. Customer Service Guaranteed.
Idioma: Inglés
Editorial: Springer Netherlands, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first six chapters of this volume present the author s predictive or information theoretic approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distribut…ions of maximum entropy (Le. , as dis.
Idioma: Inglés
Editorial: Springer, Springer Apr 1989, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maxi…mum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance. 464 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Apr 1989, 1989
Serie: Synthese Library, Libro 15 de 304. Libro 15 de 304 - Synthese Library
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum…entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch.
