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Data Analysis Using Regression and Multilevel/Hierarchical Models - Jennifer Hill,Andrew Gelman

englanti
2013-05-17
238,37 € 366,72 €

-35% koodilla BOOKS

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Toimitus 17-23 arkipäivässä

30 päivän palautusoikeus

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by wor ... Täydellinen kuvaus

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Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors’ own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http://www.stat.columbia.edu/~gelman/arm/

Lisätietoja

Kirjoittaja Jennifer Hill, Andrew Gelman
Julkaisija Cambridge University Press
Julkaisuvuosi 2013
Kannen tyyppi Kovakantinen
EAN 9780521867061
Kirjoita oma arvostelusi
Arvostelet: Data Analysis Using Regression and Multilevel/Hierarchical Models
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238,37 € 366,72 €