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Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics Andrzej Galecki 2013 edition
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Linear Mixed-Effects Models Using R: A Step-by-Step Approach - Springer Texts in Statistics
Andrzej Galecki
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs.
542 pages, 64 black & white illustrations, 47 black & white tables, biography
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 5. februar 2013 |
| ISBN13 | 9781461438991 |
| Utgivere | Springer-Verlag New York Inc. |
| Antall sider | 542 |
| Mål | 160 × 234 × 37 mm · 975 g |
| Språk | Engelsk |
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