In this article, a family of feasible generalized double k-class estimator in a linear regression model with non-spherical disturbances is considered. The performance of this estimator is judged with feasible generalized least-squares and feasible generalized Stein-rule estimators under balanced...

The present paper considers the testing of unit root hypothesis for an autoregressive model with polynomial trend under Bayesian framework. Under the unit root hypothesis the trend component does not vanish completely and its degree reduces by one. The posterior odds ratio for the unit root...

This paper considers a general family of Stein rule estimators for the coefficient vector of a linear regression model with nonspherical disturbances, and derives estimators for the Mean Squared Error (MSE) matrix, and risk under quadratic loss for this family of estimators. The confidence...