Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Michael D. Lee is a professor in the Department of Cognitive Sciences at the University of California, Irvine.
Eric-Jan Wagenmakers is a professor in the Department of Psychological Methods at the University of Amsterdam.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Paperback. Condizione: 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. Codice articolo GOR009939792
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Da: medimops, Berlin, Germania
Condizione: 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. Codice articolo M01107603579-G
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 18803814
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781107603578
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
Paperback. Condizione: 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. Codice articolo LU-9781107603578
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. 264 pages. 9.75x7.50x0.50 inches. In Stock. This item is printed on demand. Codice articolo __1107603579
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9781107603578
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