Journals / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 1974 / Cilt: 23 - Sayı:
A Comparison of Gauss- Markov Estimators And Least Squares Estimators of the Micro and Macro Parameters
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Özet
Öz A more general linear aggregation model is considered in that we allow for collîne- arity between the independent or explanatory variables. Thus the analysis is presented in a framework utilizing Moore-Penrose generalized inverses of singular matrices. Gauss- Markov estimators are derived and compared with covariance structure of the micro parameters. The efficiency is obtained of the least squares estimators of the micro para meters.