Published by Cambridge University Press, 2007
ISBN 10: 0521858712 ISBN 13: 9780521858717
Language: English
Seller: My Dead Aunt's Books, Hyattsville, MD, U.S.A.
hardcover. Condition: Very Good. Dust Jacket Condition: None as issued. The pages are clean and unmarked. The cover has some mild bumpign to the corners.
Published by Cambridge University Press (edition 2), 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Published by Cambridge University Press, 2007
ISBN 10: 0521858712 ISBN 13: 9780521858717
Language: English
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Published by Cambridge University Press, 2007
ISBN 10: 0521858712 ISBN 13: 9780521858717
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: HPB-Red, Dallas, TX, U.S.A.
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!
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
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Add to basketCondition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9781107436770.
Published by Cambridge University Press, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
Hardcover. Condition: As New. 2nd Edition. This is a fine, as new, hardcover second edition copy, no DJ, black spine. 249 pages with index.
Published by Cambridge University Press, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. 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!
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
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Published by Cambridge University Press 8/21/2014, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Introduction to Bayesian Econometrics 1.05. Book.
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
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Published by Cambridge University Press CUP, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 270.
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language. This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Cambridge University Press, GB, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.
Published by Cambridge University Press 2014-08-21, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
US$ 55.26
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Cambridge University Press, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language. This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
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Add to basketpaperback. Condition: Gut. 270 Seiten; 9781107436770.3 Gewicht in Gramm: 1.
Published by Cambridge University Press, 2014
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
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Add to basketCondition: Gut. Zustand: Gut | Seiten: 270 | Sprache: Englisch | Produktart: Bücher.
Published by Cambridge University Press, 2014
ISBN 10: 110743677X ISBN 13: 9781107436770
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 2nd reprint edition. 249 pages. 10.25x7.25x0.50 inches. In Stock.
Published by Cambridge University Press, GB, 2012
ISBN 10: 1107015316 ISBN 13: 9781107015319
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketHardback. Condition: New. This textbook explains the basic ideas of subjective probability and shows how subjective probabilities must obey the usual rules of probability to ensure coherency. It defines the likelihood function, prior distributions and posterior distributions. It explains how posterior distributions are the basis for inference and explores their basic properties. Various methods of specifying prior distributions are considered, with special emphasis on subject-matter considerations and exchange ability. The regression model is examined to show how analytical methods may fail in the derivation of marginal posterior distributions. The remainder of the book is concerned with applications of the theory to important models that are used in economics, political science, biostatistics and other applied fields. New to the second edition is a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The new edition also emphasizes the R programming language.