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Modeling Psychophysical Data in R
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Modeling Psychophysical Data in R

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ISBN-13:
9781461444756
Einband:
eBook
Seiten:
365
Autor:
Kenneth Knoblauch
Serie:
Use R!
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

Informed by the latest developments, this volume adds a much-needed focus on direct methodology to the literature on control and systems theory. New material presented includes representation techniques for stochastic systems involving Lévy processes.

A First Tour through R by Example.- Modeling in R.- Signal Detection Theory (SDT).- The Psychometric Function: Introduction.- The Psychometric Function: Continuation.- Classification Images.- Maximum Likelihood Difference Scaling (MLDS).- Maximum Likelihood Conjoint Measurement (MLCM).- Mixed-Effect Models.- Some Basics of R.- Statistical Background.- References.- Index.
Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data.

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