Modeling Psychophysical Data in R

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 statisti...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Knoblauch, Kenneth (Autor), Maloney, Laurence T. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Use R!, 32
Temas:
Mathematical statistics-Data processing.
Statistics .
Social sciences-Statistical methods.
Statistics and Computing.
Statistical Theory and Methods.
Statistics.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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