Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: 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.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: medimops, Berlin, Germany
Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Language: English
Published by Cambridge University Press, GB, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 46.71
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press CUP, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 284.
Paperback. Condition: Brand New. 264 pages. 9.75x7.50x0.50 inches. In Stock.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results. Num Pages: 284 pages. BIC Classification: JMH; JMR; PBWH. Category: (P) Professional & Vocational. Dimension: 245 x 188 x 16. Weight in Grams: 548. . 2014. Paperback. . . . . Books ship from the US and Ireland.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results. Num Pages: 284 pages. BIC Classification: JMH; JMR; PBWH. Category: (P) Professional & Vocational. Dimension: 245 x 188 x 16. Weight in Grams: 548. . 2014. Paperback. . . . .
Language: English
Published by Cambridge University Press, GB, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 264 pages. 9.75x7.50x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 47.79
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 284.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 284.
Language: English
Published by Cambridge University Press, Cambridge, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Bayesian inference has become a standard method of analysis in many fields of science. Students and researchers in experimental psychology and cognitive science, however, have failed to take full advantage of the new and exciting possibilities that the Bayesian approach affords. Ideal for teaching and self study, this book demonstrates how to do Bayesian modeling. Short, to-the-point chapters offer examples, exercises, and computer code (using WinBUGS or JAGS, and supported by Matlab and R), with additional support available online. No advance knowledge of statistics is required and, from the very start, readers are encouraged to apply and adjust Bayesian analyses by themselves. The book contains a series of chapters on parameter estimation and model selection, followed by detailed case studies from cognitive science. After working through this book, readers should be able to build their own Bayesian models, apply the models to their own data, and draw their own conclusions. Ideal for teaching and self study, this practical book demonstrates how cognitive scientists can conduct Bayesian analyses for many real-life modeling problems. Supported by examples, exercises, computer code and additional resources available online, readers will learn to take full advantage of the exciting possibilities that the Bayesian approach affords. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ideal for teaching and self study, this practical book demonstrates how cognitive scientists can conduct Bayesian analyses for many real-life modeling problems. Supported by examples, exercises, computer code and additional resources available online, reade.