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100   $a20131121d2011      fy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aComputational modeling in cognition$b[electronic resource] $eprinciples and practice /$fStephan Lewandowsky and Simon Farrell
210   $aThousand Oaks, [Calif.] $cSAGE$dc2011
215   $a1 online resource (377 p.)
300   $aDescription based upon print version of record.
311   $a1-322-28341-9 
311   $a1-4129-7076-8 
320   $aIncludes bibliographical references and index.
327   $aCover; Contents; Preface; Chapter 1 - Introduction; Chapter 2 - From Words to Models: Building a Toolkit; Chapter 3 - Basic Parameter Estimation Techniques; Chapter 4 - Maximum Likelihood Estimation; Chapter 5 - Parameter Uncertainty and Model Comparison; Chapter 6 - Not Everything That Fits Is Gold: Interpreting the Modeling; Chapter 7 - Drawing It All Together: Two Examples; Chapter 8 - Modeling in a Broader Context; References; Author Index; Subject Index; About the Authors
330 8 $aThis title introduces the principles of using computational models in psychology and provides a clear idea about how model construction, parameter estimation and model selection are carried out in practice. The book is written at a level that permits readers with a background in cognition, but without any modelling expertise.
606   $aCognition$xMathematical models
608   $aElectronic books.
615  0$aCognition$xMathematical models.
676   $a153.01
676   $a153.01/5118
676   $a153.015118
700   $aLewandowsky$b Stephan$01039512
701   $aFarrell$b Simon$f1976-$01039513
801  0$bStDuBDS
801  1$bStDuBDS
906   $aBOOK
912   $a9910480907103321
996   $aComputational modeling in cognition$92461793
997   $aUNINA