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Modern statistical methods for HCI
- 其他作者:
- 其他題名:
- Human-computer interaction series.
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: Human-computer interaction series,
- 主題: Human-computer interaction--Statistical methods. , Computer Science. , User Interfaces and Human Computer Interaction. , Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
- ISBN: 9783319266336 (electronic bk.) 、 9783319266312 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: 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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讀者標籤:
- 系統號: 005359904 | 機讀編目格式