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Modern Statistical Methods for HCI (Human–Computer Interaction Series) - Tapa dura

Libro 61 de 141: Human?Computer Interaction
 
9783319266312: Modern Statistical Methods for HCI (Human–Computer Interaction Series)
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ISBN 10: 3319266314 ISBN 13: 9783319266312
Editorial: Springer, 2016

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.


"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3319266314
ISBN 13 
9783319266312
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
370
Editor
Robertson Judy, Kaptein Maurits
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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