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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
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 5. februarja 2013 |
| ISBN13 | 9781461438991 |
| Založniki | Springer-Verlag New York Inc. |
| Strani | 542 |
| Dimenzije | 160 × 234 × 37 mm · 975 g |
| Jezik | Angleščina |
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