Tutorial: Modern Regression Techniques for HCI Researchers

Abstract : Despite a century of progress in statistics since the introduction of ANOVA and Pearson correlation, many researchers are still squeezing their precious data into the tight corset of those dated statistical models. This is particularly limiting in applied disciplines such as HCI, where impact factors can be numerous, heterogeneous and difficult to control experimentally. The proposed tutorial aims at liberating applied researchers from constraints and concerns associated with legacy statistics.
Type de document :
Communication dans un congrès
15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9299 (Part IV), pp.651-654, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22723-8_86〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01610866
Contributeur : Hal Ifip <>
Soumis le : jeudi 5 octobre 2017 - 10:00:52
Dernière modification le : jeudi 5 octobre 2017 - 10:04:05

Fichier

346948_1_En_86_Chapter.pdf
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Martin Schmettow. Tutorial: Modern Regression Techniques for HCI Researchers. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. Lecture Notes in Computer Science, LNCS-9299 (Part IV), pp.651-654, 2015, Human-Computer Interaction – INTERACT 2015. 〈10.1007/978-3-319-22723-8_86〉. 〈hal-01610866〉

Partager

Métriques

Consultations de la notice

36

Téléchargements de fichiers

9