Modeling psychophysical data in R
by Kenneth Knoblauch and Laurence T. Maloney (Springer, 2012)
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| This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, psychometric function fitting, classification images and more. In two chapters, recently developed methods for scaling appearance, maximum likelihood difference scaling and maximum likelihood conjoint measurement are examined. The authors also consider the application of mixed-effects models to psychophysical data. |
 Modeling Psychophysical Data in R.pdf :: Unduh
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| No. Panggil : | e20419667 |
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| Penerbitan : | New York: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-4475-6 |
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| No. Panggil | No. Barkod | Ketersediaan |
|---|---|---|
| e20419667 | 20-24-05994380 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20419667 |
