Farrell simon lewandowsky stephan (25 resultados)

paperback. Condición: Good. Our good condition books are generally good but could have imperfections such as creasing, fanning, inscriptions, margin notes, small staining on edge or cover or pages. It's a wide category that encompasses anything that isn't almost-new down to anything that is slightly better than acceptable. We would NOT recommend gifting Good books, and only gift Very Good or better. Our books are dispatched from a Yorkshire former cotton mill. We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.…

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Paperback. Condición: New. Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.…

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Paperback. Condición: Brand New. 461 pages. 9.75x7.00x1.00 inches. In Stock.

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Paperback. Condición: New. Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.…

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 1st edition. 376 pages. 8.75x6.00x0.75 inches. In Stock.

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Hardcover. Condición: Brand New. 461 pages. 9.75x7.00x1.00 inches. In Stock.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, .…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A clear introduction to the principles of using computational and mathematical models in psychology and cognitive science.An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive .…

Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. InhaltsverzeichnisPreface Part I. Introduction to Modeling: 1. Introduction 2. From words to models: building a toolkit Part II. Parameter Estimation: 3. Basic parameter estimation techniques 4. Maximum likelihood parameter estimatio.…

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