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- W2061393485 abstract "We consider shrinkage and preliminary test estimation strategies for the matrix of regression parameters in multivariate multiple regression model in the presence of a natural linear constraint. We suggest a shrinkage and preliminary test estimation strategies for the parameter matrix. The goal of this article is to critically examine the relative performances of these estimators in the direction of the subspace and candidate subspace restricted type estimators. Our analytical and numerical results show that the proposed shrinkage and preliminary test estimators perform better than the benchmark estimator under candidate subspace and beyond. The methods are also applied on a real data set for illustrative purposes." @default.
- W2061393485 created "2016-06-24" @default.
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- W2061393485 date "2012-07-01" @default.
- W2061393485 modified "2023-09-26" @default.
- W2061393485 title "An Improved Estimation in Regression Parameter Matrix in Multivariate Regression Model" @default.
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- W2061393485 doi "https://doi.org/10.1080/03610926.2012.664672" @default.
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