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In den Warenkorbhardcover. Zustand: Gut. 672 Seiten; 9780123814852.3 Gewicht in Gramm: 2.
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In den Warenkorbhardcover. Zustand: Very Good. 1st Edition. Used - Very Good.
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In den WarenkorbZustand: 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.
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In den WarenkorbPaperback. Zustand: 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.
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In den WarenkorbHardcover. Zustand: Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA.
Verlag: Academic Press, 2014, 2014
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In den WarenkorbHardcover. 759 p. -good.-(Signs of use, markings in yellow ink, but otherwise the book is in good condition.).
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In den Warenkorbhardcover. Zustand: Good. Fast shipping and order satisfaction guaranteed. A portion of your purchase benefits Non-Profit Organizations, First Aid and Fire Stations!
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In den Warenkorbhardcover. Zustand: 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).
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In den Warenkorbhardcover. Zustand: 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).
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbHardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Verlag: Elsevier Science & Technology, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Sprache: Englisch
Anbieter: TextbookRush, Grandview Heights, OH, USA
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In den WarenkorbGebunden. Zustand: 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 .
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In den WarenkorbZustand: New. pp. 776.
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In den WarenkorbZustand: New. pp. 776.
Verlag: Elsevier Science Jul 2015, 2015
ISBN 10: 0124058884 ISBN 13: 9780124058880
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. Zustand: 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.
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In den Warenkorbhardcover. Zustand: fine. Illustrated with diagrams. 759 pages. Tall, thick 8vo, glossy pictorial wrappers. London: Elsevier, (2015). A fine copy. This book offers step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R, JAGS, and Stan. This book is richly illustrated and has numerous exercises with explicitly stated purposes to provide you with the additional hands-on guidance you need to build an understanding of concepts and apply them to real data.
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In den WarenkorbHardcover. Zustand: 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!
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In den WarenkorbHardcover. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
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In den WarenkorbZustand: new.
Anbieter: SGS Trading Inc, Franklin Lakes, NJ, USA
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In den WarenkorbHardcover. Zustand: Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA.
Anbieter: Harveston College Textbooks, Temecula, CA, USA
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In den WarenkorbHardcover. Zustand: New. 1st Edition.
Verlag: Elsevier, AP, 2015
Anbieter: Rometti Vincent, Nice, Frankreich
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In den WarenkorbCouverture rigide. Zustand: Très bon. 2ème Édition. Elsevier, AP, 2015. Grand in-8, XII+759pp. Plein cartonnage de l'éditeur (hardcover). Très bon état.
Verlag: Elsevier Science Publishing Co Inc, San Diego, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Elsevier Science Publishing Co Inc, San Diego, 2014
ISBN 10: 0124058884 ISBN 13: 9780124058880
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
Verlag: ELSEVIER SCIENCE & TECHNOLOGY, 2010
ISBN 10: 0123814855 ISBN 13: 9780123814852
Sprache: Englisch
Anbieter: OM Books, Sevilla, SE, Spanien
EUR 264,00
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In den WarenkorbZustand: Usado - bueno.