Abstract
The paper considers the construction of estimators of regression coefficients in a linear regression model when some stochastic and biased apriori information is available. Such apriori information is framed as stochastic restrictions. The dominance conditions of the estimators are derived under the criterion of mean squared error matrix.
Item Type: | Paper |
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Form of publication: | Postprint |
Faculties: | Mathematics, Computer Science and Statistics > Statistics > Technical Reports |
URN: | urn:nbn:de:bvb:19-epub-2083-1 |
Language: | English |
Item ID: | 2083 |
Date Deposited: | 17. Dec 2007, 08:22 |
Last Modified: | 04. Nov 2020, 12:46 |