Modern Statistical Methods for HCI

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Robertson, Judy (Επιμελητής έκδοσης), Kaptein, Maurits (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: Human–Computer Interaction Series,
• Θέματα: Computer science.; User interfaces (Computer systems).; Statistics.; Computer Science.; User Interfaces and Human Computer Interaction.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

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 his...

Πίνακας περιεχομένων:

• 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.