Data Analysis Using Regression and Multilevel/Hierarchical Models
This book originated as lecture notes for a course in regression and multilevel modeling, offered by the statistics department at Columbia University and attended by graduate students and postdoctoral researchers in social sciences (political science, economics, psychology, education, business, s...
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| Auteurs principaux: | , |
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| Format: | Livre |
| Langue: | English |
| Publié: |
Cambridge University Press
2013
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| Sujets: | |
| Accès en ligne: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35575 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| Résumé: | This book originated as lecture notes for a course in regression and multilevel modeling,
offered by the statistics department at Columbia University and attended
by graduate students and postdoctoral researchers in social sciences (political science,
economics, psychology, education, business, social work, and public health)
and statistics. The prerequisite is statistics up to and including an introduction to
multiple regression.
Advanced mathematics is not assumed—it is important to understand the linear
model in regression, but it is not necessary to follow the matrix algebra in the
derivation of least squares computations. It is useful to be familiar with exponents
and logarithms, especially when working with generalized linear models. |
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