Download the fantastic book titled Modern Statistical Methods for HCI written by Judy Robertson, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Modern Statistical Methods for HCI", which was released on 22 March 2016. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.
Summary of Modern Statistical Methods for HCI by Judy Robertson PDF
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 About Modern Statistical Methods for HCI PDF
- Author : Judy Robertson
- Publisher : Springer
- Genre : Computers
- Total Pages : 348 pages
- ISBN : 3319266330
- Release Date : 22 March 2016
- PDF File Size : 43,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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