Predictors of a multiple linear regression equation selected by GCV (Generalized Cross Validation) may contain undesirable predictors with no linear functional
This paper considered an autoregressive time series where the slope contains random components with non-negative values. The authors determine the stationary co
In this paper, we study some robustness aspects of linear regression models of the presence of outliers or discordant observations considering the use of stable
Olkin [1] proposed a ratio estimator considering p auxiliary variables under simple random sampling. As is expected, Simple Random Sampling comes with relativel