A Comparison of Noniterative Generalized Least Squares and Iterative Maximum Likelihood Estimators When Testing Hypotheses in Random Coefficient Growth Curve Models-Reference-Cited by-同舟云学术

A Comparison of Noniterative Generalized Least Squares and Iterative Maximum Likelihood Estimators When Testing Hypotheses in Random Coefficient Growth Curve Models

Published:2003-01-06 Issue:2 Volume:32 Page:297-318
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Goldschmidt Lidush,Timm Neil H.

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

http://www.tandfonline.com/doi/pdf/10.1081/SAC-120017493

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4. A random coefficient growth curve analysis of mental development in low-birth-weight infants

5. Small sample properties of random coefficient regression estimators: a monte carlo simulation

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