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
This paper deals with the application of the weighted mixed regression estimation of the coefficient...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...
We have considered the estimation of coefficients in a linear regression model when some responses o...
The paper considers the construction of estimators of regression coefficients in a linear regression...
This paper considers the estimation of the coefficient vector in a linear regression model subject t...
The present paper considers the weighted mixed regression estimation of the coefficient vector in a ...
Assuming the nonavailability of some observations and the availability of some stochastic linear con...
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed...
In this article, we have considered two families of predictors for the simultaneous prediction of ac...
This article compares a predictor with the best linear unbiased predictor (BLUP) for a unified form ...
This paper deals with the application of the weighted mixed regression estimation of the coefficient...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...
We have considered the estimation of coefficients in a linear regression model when some responses o...
The paper considers the construction of estimators of regression coefficients in a linear regression...
This paper considers the estimation of the coefficient vector in a linear regression model subject t...
The present paper considers the weighted mixed regression estimation of the coefficient vector in a ...
Assuming the nonavailability of some observations and the availability of some stochastic linear con...
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed...
In this article, we have considered two families of predictors for the simultaneous prediction of ac...
This article compares a predictor with the best linear unbiased predictor (BLUP) for a unified form ...
This paper deals with the application of the weighted mixed regression estimation of the coefficient...
The analysis of misspecification was extended to the recently introduced stochastic restricted biase...
We have considered the estimation of coefficients in a linear regression model when some responses o...
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