Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierhardcover. Etat : Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Ajouter au panierhardcover. Etat : Very Good. Previous owner's name inside. Sticker on back. No marks in text.
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Ajouter au panierhardcover. Etat : Good. Former library book, still has stickers. Used with wear, stamp to textblock and first page. Edgewear and some soiling to textblock, bumping/wear to corners but is still in solid reading condition.
Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Langue: anglais
Edité par VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10 : 3848417146 ISBN 13 : 9783848417148
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Ajouter au panierEtat : New. pp. 152.
Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Langue: anglais
Edité par World Scientific Publishing Company, Incorporated, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierEtat : New. pp. 250.
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Ajouter au panierSoft cover. Etat : Very Good. Clean No Remarks Or Highlights Inside. In Very Good Condition. 352 Pages With The Index. Soft Cover.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
Langue: anglais
Edité par World Scientific Publishing Company, Incorporated, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierEtat : New. pp. 250.
Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Langue: anglais
Edité par World Scientific Publishing Company, Incorporated, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierEtat : New.
Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Langue: anglais
Edité par World Scientific Publishing Co Pte Ltd, SG, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierHardback. Etat : New. This volume consists of a collection of research articles on classical and emerging Statistical Paradigms - parametric, non-parametric and semi-parametric, frequentist and Bayesian - encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.
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Ajouter au panierEtat : New. pp. 370.
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Ajouter au panierhardcover. Etat : New. In shrink wrap. Looks like an interesting title!
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Ajouter au panierEtat : New.
Langue: anglais
Edité par World Scientific Pub Co Inc, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierHardcover. Etat : Brand New. 291 pages. 9.25x6.50x0.75 inches. In Stock.
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Langue: anglais
Edité par World Scientific Publishing Company, 2014
ISBN 10 : 9814343951 ISBN 13 : 9789814343954
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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Seiten: 310 | Sprache: Englisch | Produktart: Bücher | This volume consists of a collection of research articles on classical and emerging Statistical Paradigms parametric, non-parametric and semi-parametric, frequentist and Bayesian encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple Testing Procedures. The areas in emerging applications include: Bioinformatics, Factorial Experiments and Linear Models, Hotspot Geoinformatics and Reliability.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 186,54
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Springer-Verlag New York Inc., US, 2006
ISBN 10 : 0387400842 ISBN 13 : 9780387400846
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 213,17
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Ajouter au panierHardback. Etat : New. Though there are many recent additions to graduate-level introductory books on Bayesian analysis, none has quite our blend of theory, methods, and ap plications. We believe a beginning graduate student taking a Bayesian course or just trying to find out what it means to be a Bayesian ought to have some familiarity with all three aspects. More specialization can come later. Each of us has taught a course like this at Indian Statistical Institute or Purdue. In fact, at least partly, the book grew out of those courses. We would also like to refer to the review (Ghosh and Samanta (2002b)) that first made us think of writing a book. The book contains somewhat more material than can be covered in a single semester. We have done this intentionally, so that an instructor has some choice as to what to cover as well as which of the three aspects to emphasize. Such a choice is essential for the instructor. The topics include several results or methods that have not appeared in a graduate text before. In fact, the book can be used also as a second course in Bayesian analysis if the instructor supplies more details. Chapter 1 provides a quick review of classical statistical inference. Some knowledge of this is assumed when we compare different paradigms. Following this, an introduction to Bayesian inference is given in Chapter 2 emphasizing the need for the Bayesian approach to statistics.