| 书目名称 | Modern Statistical Methods for HCI |
| 编辑 | Judy Robertson,Maurits Kaptein |
| 视频video | |
| 概述 | Critically examines statistical methodologies used in human-computer interaction.Provides hands-on explanations of how to apply and interpret modern statistical methods using HCI examples.Provides [R] |
| 丛书名称 | Human–Computer Interaction Series |
| 图书封面 |  |
| 描述 | 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. . |
| 出版日期 | Book 2016 |
| 关键词 | Bayesian Analysis; Experimental Design; Human Computer Interaction; Quantitative Analysis; Research Meth |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-26633-6 |
| isbn_softcover | 978-3-319-79984-1 |
| isbn_ebook | 978-3-319-26633-6Series ISSN 1571-5035 Series E-ISSN 2524-4477 |
| issn_series | 1571-5035 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 19:20:44
