Multi-Unit Longitudinal Models with Random Coefficients and Patterned Correlation Structure: Modelling Issues

Multi-Unit Longitudinal Models with Random Coefficients and Patterned Correlation Structure: Modelling Issues

The class of models which is studied in this paper, multi-unit longitudinal models, combines both the cross-sectional and the longitudinal aspects of observations. Many empirical investigations involve the analysis of data structures that are both cross-sectional (observations are taken on several u...

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Bibliographic Details
Main Author: Ledolter, Johannes
Format: Others
Language:en
Published: Department of Statistics and Mathematics, WU Vienna University of Economics and Business 1999
Subjects:
Best linear unbiased predictors / BIC criterion / Longitudina/cross-sectional data / Mixed models / Model building strategy / Patterned Correlation Structure / Random effects / Random regression coefficients / Spatial correlation / SAS PROC MIXED
Online Access:http://epub.wu.ac.at/432/1/document.pdf

Internet

http://epub.wu.ac.at/432/1/document.pdf

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