a two step subsample bootstrap method. This method adaptively determines the sample fraction that minimizes the …

a two step subsample bootstrap method. This method adaptively determines the sample fraction that minimizes the …

We use a subsample bootstrap method to get a consistent estimate of the asymptotically optimal choice of the …

We use a subsample bootstrap method to get a consistent estimate of the asymptotically optimal choice of the sample …

We use a subsample bootstrap method to get a consistent estimate of the asymptotically optimal choice of the …

We use a subsample bootstrap method to get a consistent estimate of the asymptotically optimal choice of the …

-generation process, the least-squares estimators have smaller bias (in fact zero bias) but larger variances in the long regression than … in the short regression. But if the long regression is also misspecified, the bias may not be smaller. We provide bias …

for population variance using information on population variance of x. The bias and mean squared error of the suggested …

average. The estimator assumes the population to be homogeneous and skewed. The properties (i.e. the Bias and the Mean Squared …