Книга Data Analysis Using Regression and Multilevel/Hierarchical Models Andrew Gelman

Data Analysis Using Regression and Multilevel/Hierarchical Models

Автор: Andrew Gelman
Език: Английски език
Корици: С твърди корици
Издател: Cambridge University Press
Наличност: Външен склад
Изпращаме след 10-18 дни
145.52 284.61 лв
Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2006
страници
648
EAN
9780521867061
ISBN
0521867061
Enbook ID
04379008
Теглоt
1396
Размери
181 x 254 x 40

Пълно описание

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.

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