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...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2012. |
| Collection: | Use R!
32 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modeling psychophysical data in R, Kenneth Knoblauch, Laurence T. Maloney, New York, Springer, 2012, 1 vol. (XV-367 p.), Use R!, 978-1-461-44474-9 • Modeling psychophysical data in R, Kenneth Knoblauch, Laurence T. Maloney, New York, Springer, 2012, 1 vol. (XV-367 p.), Use R!, 978-1-461-44474-9 • Modeling Psychophysical Data in R, Texte imprimé, 9781461444763 |
Table des matières:
- 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