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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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Gelman, Andrew, Hill, Jennifer
Fformat: Llyfr
Iaith:English
Cyhoeddwyd: Cambridge University Press 2013
Pynciau:
Mynediad Ar-lein:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/35575
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
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Crynodeb: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.