Team and player effects on NHL player salaries: a hierarchical linear model approach

2001 ◽  
Vol 8 (9) ◽  
pp. 629-632 ◽  
Author(s):  
Leo H. Kahane
1998 ◽  
Vol 88 (3) ◽  
pp. 377-381 ◽  
Author(s):  
K M Leung ◽  
R M Elashoff ◽  
K S Rees ◽  
M M Hasan ◽  
A P Legorreta

1993 ◽  
Vol 18 (3) ◽  
pp. 237-259 ◽  
Author(s):  
Tom A. B. Snijders ◽  
Roel J. Bosker

The hierarchical linear model approach to a two-level design is considered, some variables at the lower level having fixed and others having random regression coefficients. An approximation is derived to the covariance matrix of the estimators of the fixed regression coefficients (for variables at the lower and the higher level) under the assumption that the sample sizes at either level are large enough. This covariance matrix is expressed as a function of parameters occurring in the model. If a research planner can make a reasonable guess as to these parameters, this approximation can be used as a guide to the choice of sample sizes at either level.


2020 ◽  
Vol 146 (2) ◽  
pp. 04020010 ◽  
Author(s):  
Liyuan Zhao ◽  
Shuxian Wang ◽  
Jialing Wei ◽  
Zhong-Ren Peng

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