Sprache: Englisch
Verlag: Cambridge University Press (edition ), 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 30,89
Anzahl: 1 verfügbar
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.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: medimops, Berlin, Deutschland
Zustand: as new. Wie neu/Like new.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 55,10
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 83,56
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In den WarenkorbPaperback. Zustand: Brand New. 264 pages. 9.75x7.50x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 103,22
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2014
ISBN 10: 1107603579 ISBN 13: 9781107603578
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.