Makambi, K. H.
|Title:||Simple t-distribution Based Tests for Meta-Analysis|
|Abstract:||The variance function of the optimal estimator of the overall mean in a heteroscedastic one-way ANOVA model is dominated by positive semi-definite quadratic functions. This makes it possible to develop closely related tests on the nullity of the overall mean parameter, in one-way fifixed and random effects ANOVA models, which make use of the quantiles of the t-distribution. These tests are founded on the convexity arguments similar to Hartung (1976). Simulation results indicate that the proposed tests attain type I error rates which are far more acceptable than those of the commonly used tests.|
|Subject Headings:||balanced and unbalanced samples|
estimated degrees of freedom
fixed and random effects models
homoscedastic and heteroscedastic error variances
type I error rate
|Appears in Collections:||Sonderforschungsbereich (SFB) 475|
Files in This Item:
|99_38.pdf||DNB||162.34 kB||Adobe PDF||View/Open|
This item is protected by original copyright
All resources in the repository are protected by copyright.