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: MERS Goodwill, Saint Louis, MO, U.S.A.
Condizione: good. Used - Good: All pages and cover are intact including the dust cover, if applicable . Spine may show signs of wear. Pages may include limited notes and highlighting. May include From the library of labels. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. Any access codes or passwords originally included with the book may be expired, used or no longer valid. Image is stock photo and cover art edition may be different than pictured. Codice articolo MERV.1107603579.G
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 18803814-n
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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: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 18803814
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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: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9781107603578_new
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 18803814-n
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 18803814
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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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