Geodesic
Predictive Efficiency of Ridge Regression Estimator
Yugoslav journal of operations research, Tome 27 (2017) no. 2, p. 243

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In this article we have considered the problem of prediction within and outside the sample for actual and average values of the study variables in case of ordinary least squares and ridge regression estimators. Finally, the performance properties of the estimators are analyzed.
Classification : 62J05, 62J07
Keywords: Linear Regression Model, Ridge Regression Estimator, Least Squares Predictor, Ridge Regression Predictor, Prediction Within and Outside Sample, Prior non-sample Information 
Manoj Tiwari; Amit Sharma. Predictive Efficiency of Ridge Regression Estimator. Yugoslav journal of operations research, Tome 27 (2017) no. 2, p. 243 . http://geodesic.mathdoc.fr/item/YJOR_2017_27_2_a6/
@article{YJOR_2017_27_2_a6,
     author = {Manoj Tiwari and Amit Sharma},
     title = {Predictive {Efficiency} of {Ridge} {Regression} {Estimator}},
     journal = {Yugoslav journal of operations research},
     pages = {243 },
     year = {2017},
     volume = {27},
     number = {2},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2017_27_2_a6/}
}
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