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 di...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Farrell, Simon 1976- (VerfasserIn), Lewandowsky, Stephan 1958- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cambridge Cambridge University Press [2018]
Schlagworte:	Cognition / Mathematical models Psychology / Mathematical models Mathematisches Modell Kognition Psychologie
Online-Zugang:	BSB01 FWS01 FWS02 UBG01 UEI01 UBW01 Volltext
Zusammenfassung:	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
Beschreibung:	Title from publisher's bibliographic system (viewed on 12 Feb 2018)
Beschreibung:	1 Online-Ressource (xxii, 461 Seiten) Diagramme
ISBN:	9781316272503
DOI:	10.1017/CBO9781316272503