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Modern statistical methods for HCI
~
Kaptein, Maurits.
Modern statistical methods for HCI
Record Type:
Electronic resources : Monograph/item
Title/Author:
Modern statistical methods for HCIedited by Judy Robertson, Maurits Kaptein.
other author:
Robertson, Judy.
Published:
Cham :Springer International Publishing :2016.
Description:
xx, 348 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Human-computer interactionStatistical methods.
Online resource:
http://dx.doi.org/10.1007/978-3-319-26633-6
ISBN:
9783319266336$q(electronic bk.)
Modern statistical methods for HCI
Modern statistical methods for HCI
[electronic resource] /edited by Judy Robertson, Maurits Kaptein. - Cham :Springer International Publishing :2016. - xx, 348 p. :ill., digital ;24 cm. - Human-computer interaction series,1571-5035. - Human-computer interaction series..
Preface -- An Introduction to Modern Statistical Methods for HCI -- Part I: Getting Started With Data Analysis -- Getting started with [R]: A Brief Introduction -- Descriptive Statistics, Graphs, and Visualization -- Handling Missing Data -- Part II: Classical Null Hypothesis Significance Testing Done Properly -- Effect sizes and Power in HCI -- Using R for Repeated and Time-Series Observations -- Non-Parametric Statistics in Human-Computer Interaction -- Part III : Bayesian Inference -- Bayesian Inference -- Bayesian Testing of Constrained Hypothesis -- Part IV: Advanced Modeling in HCI -- Latent Variable Models -- Using Generalized Linear (Mixed) Models in HCI -- Mixture Models: Latent Profile and Latent Class Analysis -- Part V: Improving Statistical Practice in HCI -- Fair Statistical Communication in HCI -- Improving Statistical Practice in HCI.
ISBN: 9783319266336$q(electronic bk.)
Standard No.: 10.1007/978-3-319-26633-6doiSubjects--Topical Terms:
741731
Human-computer interaction
--Statistical methods.
LC Class. No.: QA76.9.H85
Dewey Class. No.: 004.019
Modern statistical methods for HCI
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Preface -- An Introduction to Modern Statistical Methods for HCI -- Part I: Getting Started With Data Analysis -- Getting started with [R]: A Brief Introduction -- Descriptive Statistics, Graphs, and Visualization -- Handling Missing Data -- Part II: Classical Null Hypothesis Significance Testing Done Properly -- Effect sizes and Power in HCI -- Using R for Repeated and Time-Series Observations -- Non-Parametric Statistics in Human-Computer Interaction -- Part III : Bayesian Inference -- Bayesian Inference -- Bayesian Testing of Constrained Hypothesis -- Part IV: Advanced Modeling in HCI -- Latent Variable Models -- Using Generalized Linear (Mixed) Models in HCI -- Mixture Models: Latent Profile and Latent Class Analysis -- Part V: Improving Statistical Practice in HCI -- Fair Statistical Communication in HCI -- Improving Statistical Practice in HCI.
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Robertson, Judy.
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EB QA76.9.H85 M689 2016
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http://dx.doi.org/10.1007/978-3-319-26633-6
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