Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft 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,650grams, ISBN:9781584888499.
Paperback. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
Paperback. Condition: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.
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Add to basketCondition: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Water damage. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781584888499.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Chapman and Hall/CRC 2012-11-01, 2012
ISBN 10: 1584888490 ISBN 13: 9781584888499
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Published by Taylor & Francis Inc, 2012
ISBN 10: 1584888490 ISBN 13: 9781584888499
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Add to basketPaperback. Condition: Brand New. 1st edition. 399 pages. 9.00x6.00x0.75 inches. In Stock.
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Add to basketPaperback. Condition: Brand New. 1st edition. 399 pages. 9.00x6.00x0.75 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC, 2012
ISBN 10: 1584888490 ISBN 13: 9781584888499
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Taschenbuch. Condition: Neu. The BUGS Book | A Practical Introduction to Bayesian Analysis | David Lunn (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2012 | Chapman and Hall/CRC | EAN 9781584888499 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Chapman and Hall/CRC 2017-08-11, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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ISBN 10: 1138469483 ISBN 13: 9781138469488
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ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Chapman and Hall/CRC, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Taylor & Francis Group, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Published by Taylor & Francis Ltd Aug 2017, 2017
ISBN 10: 1138469483 ISBN 13: 9781138469488
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Buch. Condition: Neu. Neuware.
Condition: Used: Good. Occasion - Bon Etat - The bugs book : A practical introduction to bayesian analysis- (2012) - Poche.
Language: English
Published by Chapman And Hall/CRC, 2012
ISBN 10: 1584888490 ISBN 13: 9781584888499
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bayesian statistical methods have become widely used for data analysis and modelling in recent years, and the BUGS software has become the most popular software for Bayesian analysis worldwide. Authored by the team that originally developed this software, The BUGS Book provides a practical introduction to this program and its use. The text presents complete coverage of all the functionalities of BUGS, including prediction, missing data, model criticism, and prior sensitivity. It also features a large number of worked examples and a wide range of applications from various disciplines.The book introduces regression models, techniques for criticism and comparison, and a wide range of modelling issues before going into the vital area of hierarchical models, one of the most common applications of Bayesian methods. It deals with essentials of modelling without getting bogged down in complexity. The book emphasises model criticism, model comparison, sensitivity analysis to alternative priors, and thoughtful choice of prior distributions-all those aspects of the 'art' of modelling that are easily overlooked in more theoretical expositions. More pragmatic than ideological, the authors systematically work through the large range of 'tricks' that reveal the real power of the BUGS software, for example, dealing with missing data, censoring, grouped data, prediction, ranking, parameter constraints, and so on. Many of the examples are biostatistical, but they do not require domain knowledge and are generalisable to a wide range of other application areas. Full code and data for examples, exercises, and some solutions can be found on the book's website.