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.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | January 1, 1974 |
Submission Date | January 1, 1974 |
Published in Issue | Year 1974 Volume: 23 |
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
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