Anova and minque type of estimators for the one-way random effects model
- 1 January 1984
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 13 (14) , 1667-1673
- https://doi.org/10.1080/03610928408828785
Abstract
The one-way random effects model with unequal variances and unequal sample sizes is considered. Estimation of the variances, variance of a single observation (total variance), and the standard error of the unweighted mean are considered. Precision of the Analysis of Variance and Unweighted Sums of Squares type of estimators and the Minimum Norm Quadratic Unbiased Estimators with a priori weights are examined.Keywords
This publication has 8 references indexed in Scilit:
- Estimators for the One-Way Random Effects Model with Unequal Error VariancesJournal of the American Statistical Association, 1981
- Estimating the Common Mean of Possibly Different Normal Populations: A Simulation StudyJournal of the American Statistical Association, 1980
- Minimum Variance Quadratic Unbiased Estimation (MIVQUE) of Variance ComponentsTechnometrics, 1978
- On the Estimation of Heteroscedastic VariancesPublished by JSTOR ,1973
- Estimation of Variance and Covariance Components in Linear ModelsJournal of the American Statistical Association, 1972
- Estimation of Heteroscedastic Variances in Linear ModelsJournal of the American Statistical Association, 1970
- The Combination of Estimates from Different ExperimentsPublished by JSTOR ,1954
- Problems Arising in the Analysis of a Series of Similar ExperimentsJournal of the Royal Statistical Society Series B: Statistical Methodology, 1937