Lauretto Marcelo (23 results)
Interdisciplinary Bayesian Statistics. EBEB 2014.
Polpo, Adriano; Louzada, Francisco; Ramos Rifo, Laura; Stern, Julio Michael; Lauretto, Marcelo (Eds.)
Language: English
Published by Cham, Springer International Publishing., 2014
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Aufl. 2014. 235 mm x 155 mm. XVIII, 366 p. Hardcover. 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. Stamped. Shelfwear. Springer Proceedings… in Mathematics & Statistics ; 118. Sprache: Englisch.
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Language: English
Published by Springer, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Language: English
Published by Springer, 2016
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Language: English
Published by Springer International Publishing, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Published by Springer, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Condition: New. 366.
Language: English
Published by Springer, 2016
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Language: English
Published by Springer, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Hardcover. Condition: Brand New. 1st edition. 366 pages. 9.00x6.25x0.75 inches. In Stock.
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Language: English
Published by Springer International Publishing, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statisti…cs is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.
Language: English
Published by Springer 0, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Published by Springer, 2016
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Published by Springer, 2015
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Condition: new. Questo è un articolo print on demand.
Language: English
Published by Springer, 2015
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Published by Springer International Publishing Mrz 2015, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in B…ayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks. 384 pp. Englisch.
Language: English
Published by Springer, 2016
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Published by Springer, 2016
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Language: English
Published by Springer, 2015
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Published by Springer, Palgrave Macmillan Mär 2015, 2015
Series: Book 116 of 464 - Springer Proceedings in Mathematics & Statistics
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayes…ian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.
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Published by Springer, 2016
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Language: English
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Condition: New. PRINT ON DEMAND pp. 366.
