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_aQA76.9.H85 _bM634 2016 EB |
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| 245 | 0 | 0 |
_aModern Statistical Methods for HCI _cedited by Judy Robertson, Maurits Kaptein |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 | _a1 recurso en línea (XX, 348 p.) 77 il. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_aHuman�Computer Interaction Series _x1571-5035 |
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| 520 | _aThis 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 ztraditionaly 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. | ||
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| 988 | _aEBOOK, EBSPRINGER | ||
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_aInteracción hombre-ordenador _0comprobar BNE19996553166 _2embne _9155848 |
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_aRobertson, Judy _eeditor literario _998016 _0Local |
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_aKaptein, Maurits _eeditor literario _998017 _0Local |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26633-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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