Téléchargez le livre : Modern Statistical Methods for HCI

Modern Statistical Methods for HCI

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Éditeur :

Springer


Collection :

Human–Computer Interaction Series

Paru le : 2016-03-22

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Description
This book critically reflects on current statistical methods used in Human-Computer Interaction (HCI) and introduces a number of novel methods to the reader. 
Covering many techniques and approaches for exploratory data analysis including effect and power calculations, experimental design, event history analysis, non-parametric testing and Bayesian inference; the research contained in this book discusses how to communicate statistical results fairly, as well as presenting a general set of recommendations for authors and reviewers to improve the quality of statistical analysis in HCI. Each chapter presents [R] code for running analyses on HCI examples and explains how the results can be interpreted.
Modern Statistical Methods for HCI is aimed at researchers and graduate students who have some knowledge of “traditional” null hypothesis significance testing, but who wish to improve their practice by using techniques which have recently emerged from statistics and relatedfields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
Pages
348 pages
Collection
Human–Computer Interaction Series
Parution
2016-03-22
Marque
Springer
EAN papier
9783319266312
EAN EPUB
9783319266336
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
34
Taille du fichier
4045 Ko
Prix
168,79 €

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