A generalized difference-based mixed two-parameter estimator in partially linear model

In this paper a generalized difference-based mixed two-parameter estimator in partially linear model is presented, when stochastic linear restrictions are assumed to hold. We also discussed the properties of the new estimator and a method to select the biasing parameters is discussed. Finally a simulation study is given to show the performances of the estimators.