9780412056116 - bayes and empirical bayes methods for data analysis (chapman & hall/crc texts in statistical science) von carlin, bradley p.; louis, thomas a. (7 Ergebnisse)
- Hardcover
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Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
- Hardcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
- Hardcover
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hardcover. Zustand: Good.
- Hardcover
- Erstausgabe
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Hardcover. First edition. Octavo; 1st edition; G+; Hardcover; Spine, green with white print; Boards in glossy green paper with white print, vendor label on rear, else light shelfwear, but clean and strong; Text block clean and tight; xvi, 399 pages, illustrated (b&w graphs). 1364955. FP New Rockville Stock.
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- Hardcover
Anbieter: Bookbot, Prague, TschechienBookbot
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Hardcover. Zustand: Fine. Abnutzung / Risse - leicht. Recent advances in computing have made it possible to evaluate complex models, leading to the increased popularity of Bayes and empirical Bayes (EB) methods in statistics. This work serves as a practical reference for both practicing statisticians and graduate students, intro…ducing Bayes and EB methods while demonstrating their effectiveness in applied settings. It emphasizes implementation using modern Markov chain Monte Carlo (MCMC) techniques, showcasing how well-structured Bayes and EB procedures perform in both frequentist and Bayesian contexts without delving into philosophical debates. The authors adopt a practical approach, providing real solution methods for researchers facing challenging problems. They begin by outlining the decision-theoretic tools necessary for comparing procedures, followed by an introduction to the fundamentals of Bayes and EB approaches. The performance of these methods is evaluated across various scenarios, highlighting their strengths and weaknesses. The latter half of the work focuses on applications, offering an in-depth discussion of contemporary Bayesian computation methods, including the Gibbs sampler and the Metropolis-Hastings algorithm. It also covers data analytic tasks and provides guidelines for utilizing various specialized methods and models. The book concludes with three comprehensive case studies based on real datasets, illustrating the application of the discussed methods.
- Hardcover
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Zustand: 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. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780412056116.
- Hardcover
Anbieter: Anybook.com, Lincoln, Vereinigtes KönigreichAnybook.com
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Befriedigend
EUR 36,21
EUR 15,87 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: 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,850grams, ISBN:9780412056116.

