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Data Analysis Using Regression and Multilevel / Hierarchical Models - Analytical Methods for Social Research Gelman, Andrew (Columbia University, New York)
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Data Analysis Using Regression and Multilevel / Hierarchical Models - Analytical Methods for Social Research
Gelman, Andrew (Columbia University, New York)
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.
648 pages, 160 exercises
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2006. gada 18. decembris |
| ISBN13 | 9780521686891 |
| Izdevēji | Cambridge University Press |
| Lapas | 648 |
| Izmēri | 179 × 254 × 37 mm · 1,20 kg |
| Valoda | Angļu |
| Sērijas redaktors | Alvarez, R. Michael |
| Sērijas redaktors | Beck, Nathaniel L. |
| Sērijas redaktors | Wu, Lawrence L. |
