Published by Ridgeview, 1981
ISBN 10: 0917930037 ISBN 13: 9780917930034
Softcover. Condition: ex library-good. Various paginations. 27 cm. Ex library with labels on lower spine and inside rear cover, ink stamps on top edge, inside rear cover. Paper faded with some light soiling.
Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
1989th ed. 15 x 23 cm. 458 pages. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
paperback. Condition: 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!
Seller: Orrin Schwab Books, Providence, UT, U.S.A.
Hardcover. Condition: Good+. Dust Jacket Condition: Good+. Some shelf wear to the spine edges and corners, the top of the spine has a tear in the cloth. The dust jacket has some browning, small chips, and tears to the edges. ; Synthese Library; 0 X 0 X 0 inches; 458 pages.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 96.15
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 96.15
Quantity: Over 20 available
Add to basketCondition: New. In.
Paperback. Condition: Sehr gut. 464 pp. Very well preserved copy with only very slight signs of wear 345 Sprache: Englisch Gewicht in Gramm: 1419.
Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 288.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 292.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
£ 106.34
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by D. Reidel Publishing Company, 1983
ISBN 10: 9027714487 ISBN 13: 9789027714480
Seller: Anybook.com, Lincoln, United Kingdom
Condition: 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.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 136.79
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Springer Netherlands, 1977
ISBN 10: 9027708177 ISBN 13: 9789027708175
Seller: moluna, Greven, Germany
Gebunden. Condition: New. This book grew out of previously published papers of mine composed over a period of years they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that t.
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book grew out of previously published papers of mine composed over a period of years; they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that the traditional principle of induction in its clearest formulation (that laws are confirmed by their positive cases) is clearly false. Other formulations in terms of the 'uniformity of nature' or the 'resemblance of the future to the past' seem to me hopelessly unclear. From a Bayesian point of view, 'learning from experience' goes by conditionalization (Bayes' rule). The traditional stum bling block for Bayesians has been to fmd objective probability inputs to conditionalize upon. Subjective Bayesians allow any probability inputs that do not violate the usual axioms of probability. Many subjectivists grant that this liberality seems prodigal but own themselves unable to think of additional constraints that might plausibly be imposed. To be sure, if we could agree on the correct probabilistic representation of 'ignorance' (or absence of pertinent data), then all probabilities obtained by applying Bayes' rule to an 'informationless' prior would be objective. But familiar contra dictions, like the Bertrand paradox, are thought to vitiate all attempts to objectify 'ignorance'. BuUding on the earlier work of Sir Harold Jeffreys, E. T. Jaynes, and the more recent work ofG. E. P. Box and G. E. Tiao, I have elected to bite this bullet. In Chapter 3, I develop and defend an objectivist Bayesian approach.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Very Good. Very Good. book.
Buch. Condition: Neu. Neuware - This book grew out of previously published papers of mine composed over a period of years; they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that the traditional principle of induction in its clearest formulation (that laws are confirmed by their positive cases) is clearly false. Other formulations in terms of the 'uniformity of nature' or the 'resemblance of the future to the past' seem to me hopelessly unclear. From a Bayesian point of view, 'learning from experience' goes by conditionalization (Bayes' rule). The traditional stum bling block for Bayesians has been to fmd objective probability inputs to conditionalize upon. Subjective Bayesians allow any probability inputs that do not violate the usual axioms of probability. Many subjectivists grant that this liberality seems prodigal but own themselves unable to think of additional constraints that might plausibly be imposed. To be sure, if we could agree on the correct probabilistic representation of 'ignorance' (or absence of pertinent data), then all probabilities obtained by applying Bayes' rule to an 'informationless' prior would be objective. But familiar contra dictions, like the Bertrand paradox, are thought to vitiate all attempts to objectify 'ignorance'. BuUding on the earlier work of Sir Harold Jeffreys, E. T. Jaynes, and the more recent work ofG. E. P. Box and G. E. Tiao, I have elected to bite this bullet. In Chapter 3, I develop and defend an objectivist Bayesian approach.
Language: English
Published by Kluwer Academic Publishers, 1989
ISBN 10: 0792302133 ISBN 13: 9780792302131
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Editor(s): Rosenkrantz, R. D. Series: Synthese Library. Num Pages: 458 pages, 1 black & white illustrations, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 231 x 161 x 25. Weight in Grams: 662. . 1989. 1989th Edition. paperback. . . . .
Taschenbuch. Condition: 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.
Language: English
Published by Kluwer Academic Publishers, 1989
ISBN 10: 0792302133 ISBN 13: 9780792302131
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Editor(s): Rosenkrantz, R. D. Series: Synthese Library. Num Pages: 458 pages, 1 black & white illustrations, biography. BIC Classification: PBT; PBWL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 231 x 161 x 25. Weight in Grams: 662. . 1989. 1989th Edition. paperback. . . . . Books ship from the US and Ireland.
Hardcover. Condition: new. New Copy. Customer Service Guaranteed.
Language: English
Published by Springer, Springer Sep 1977, 1977
ISBN 10: 9027708185 ISBN 13: 9789027708182
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book grew out of previously published papers of mine composed over a period of years; they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that the traditional principle of induction in its clearest formulation (that laws are confirmed by their positive cases) is clearly false. Other formulations in terms of the 'uniformity of nature' or the 'resemblance of the future to the past' seem to me hopelessly unclear. From a Bayesian point of view, 'learning from experience' goes by conditionalization (Bayes' rule). The traditional stum bling block for Bayesians has been to fmd objective probability inputs to conditionalize upon. Subjective Bayesians allow any probability inputs that do not violate the usual axioms of probability. Many subjectivists grant that this liberality seems prodigal but own themselves unable to think of additional constraints that might plausibly be imposed. To be sure, if we could agree on the correct probabilistic representation of 'ignorance' (or absence of pertinent data), then all probabilities obtained by applying Bayes' rule to an 'informationless' prior would be objective. But familiar contra dictions, like the Bertrand paradox, are thought to vitiate all attempts to objectify 'ignorance'. BuUding on the earlier work of Sir Harold Jeffreys, E. T. Jaynes, and the more recent work ofG. E. P. Box and G. E. Tiao, I have elected to bite this bullet. In Chapter 3, I develop and defend an objectivist Bayesian approach. 288 pp. Englisch.
Language: English
Published by Springer Netherlands, 1977
ISBN 10: 9027708185 ISBN 13: 9789027708182
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book grew out of previously published papers of mine composed over a period of years they have been reworked (sometimes beyond recognition) so as to form a reasonably coherent whole. Part One treats of informative inference. I argue (Chapter 2) that t.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 288 23:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on White w/Gloss Lam.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 292 54:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Blue Cloth w/Jacket on White w/Gloss Lam.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 288.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 292.