Modern Statistical Methods for HCI is popular PDF and ePub book, written by Judy Robertson in 2016-03-22, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Modern Statistical Methods for HCI can be Read Online from any device for your convenience.
Modern Statistical Methods for HCI Book PDF Summary
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 related fields. This book critically evaluates current practices within the field and supports a less rigid, procedural view of statistics in favour of fair statistical communication.
Detail Book of Modern Statistical Methods for HCI PDF
- Author : Judy Robertson
- Release : 22 March 2016
- Publisher : Springer
- ISBN : 9783319266336
- Genre : Computers
- Total Page : 348 pages
- Language : English
- PDF File Size : 17,5 Mb
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