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Improved Predictions in Linear Regression Models with Stochastic Linear Constraints

✍ Scribed by H. Toutenburg; Shalabh


Publisher
John Wiley and Sons
Year
2000
Tongue
English
Weight
195 KB
Volume
42
Category
Article
ISSN
0323-3847

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Conditions for superiority of the minimum dispersion estimator over another with respect to the covariance matrix are derived when the vector parameter of a regression model is subject to competing stochastic restrictions. The restrictions may also consist both of a deterministic part and a stochast