Librería: Wonder Book, Frederick, MD, Estados Unidos de America
EUR 6,83
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Añadir al carritoCondición: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects.
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 32,38
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: Anybook.com, Lincoln, Reino Unido
EUR 29,03
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Añadir al carritoCondición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1400grams, ISBN:9780123814852.
Librería: Studibuch, Stuttgart, Alemania
EUR 22,87
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Añadir al carritohardcover. Condición: Gut. 672 Seiten; 9780123814852.3 Gewicht in Gramm: 2.
Librería: Ann Becker, Houston, TX, Estados Unidos de America
EUR 12,43
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Añadir al carritoHardcover. Condición: Good. 7.6 X 1.3 X 9.3 inches; 672 pages.
Librería: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Alemania
EUR 27,95
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Añadir al carritoHardcover-Großformat. Condición: Gut. 2. Auflage;. 759 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1830.
Librería: SGS Trading Inc, Franklin Lakes, NJ, Estados Unidos de America
EUR 28,33
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Añadir al carritoHardcover. Condición: Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA.
Librería: One Planet Books, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 5,76
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Añadir al carritohardcover. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing and/or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Original o primera edición
EUR 14,78
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Añadir al carritohardcover. Condición: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
EUR 76,94
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 76,43
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Añadir al carritoCondición: NEW.
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 65,94
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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Publicado por Elsevier Science & Technology, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Idioma: Inglés
Librería: TextbookRush, Grandview Heights, OH, Estados Unidos de America
EUR 27,20
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Añadir al carritoCondición: Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.
EUR 91,43
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Añadir al carritoCondición: New. In.
EUR 85,31
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Añadir al carritoCondición: New. pp. 776.
EUR 95,20
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 4,44
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Añadir al carritoHardcover. Condición: 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!
EUR 33,34
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Añadir al carritoCondición: VeryGood. Corners are bent. Stains on outside cover/inside the book.
EUR 94,40
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Añadir al carritoCondición: New. pp. 776.
Publicado por Elsevier Science Jul 2015, 2015
ISBN 10: 0124058884 ISBN 13: 9780124058880
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 98,89
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Añadir al carritoBuch. Condición: Neu. Neuware - Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets. The book is divided into three parts and begins with the basics: models, probability, Bayes' rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment. This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business.
Librería: SGS Trading Inc, Franklin Lakes, NJ, Estados Unidos de America
EUR 84,17
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Añadir al carritoHardcover. Condición: Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 73,21
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Añadir al carritoCondición: new.
EUR 94,18
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Añadir al carritoGebunden. Condición: New. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions .
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 96,80
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Añadir al carritoHardcover. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Librería: Harveston College Textbooks, Temecula, CA, Estados Unidos de America
Original o primera edición
EUR 84,44
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Añadir al carritoHardcover. Condición: New. 1st Edition.
Publicado por Elsevier Science Publishing Co Inc, San Diego, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Idioma: Inglés
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 94,56
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Añadir al carritoHardcover. Condición: new. Hardcover. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.The book is divided into three parts and begins with the basics: models, probability, Bayes rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment.This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Elsevier Science Publishing Co Inc, San Diego, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 166,91
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.The book is divided into three parts and begins with the basics: models, probability, Bayes rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment.This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por ELSEVIER SCIENCE & TECHNOLOGY, 2010
ISBN 10: 0123814855 ISBN 13: 9780123814852
Idioma: Inglés
Librería: OM Books, Sevilla, SE, España
EUR 264,00
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Añadir al carritoCondición: Usado - bueno.
Publicado por Academic Press, 2014, 2014
Librería: Antiquariaat Berger & De Vries, Groningen, Holanda
EUR 35,00
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Añadir al carritoHardcover. 759 p. -good.-(Signs of use, markings in yellow ink, but otherwise the book is in good condition.).
Publicado por Academic Press Apr 2011, 2011
ISBN 10: 0123814855 ISBN 13: 9780123814852
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 75,00
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. Doing Bayesian Data Analysis, A Tutorial Introduction with R and BUGS provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples. The book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks--t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, correlation, multiple regression, and chi-square (contingency table analysis). This book is intended for first year graduate students or advanced undergraduates. It provides a bridge between undergraduate training and modern Bayesian methods for data analysis, which is becoming the accepted research standard. Prerequisite is knowledge of algebra and basic calculus. 672 pp. Englisch.