Estimation of bias and standard error of an improved estimator of normal mean |
| |
Authors: | Shalabh |
| |
Institution: | (1) Department of Statistics, Panjab University, Chandigarh – 160 014 (INDIA) (E-mail: shalabh@pu.ac.in or shalabh1@yahoo.com), IN |
| |
Abstract: | This paper considers an improved estimator of normal mean which is obtained by considering a feasible version of minimum
mean squared error estimator. The exact expression for the bias and the mean squared error are fairly complicated and do not
provide any guidelines as how to estimate the standard error of improved estimator. As is well known that any estimator without
a formula for standard error has little practical utility. We therefore derive unbiased estimators for the bias and mean squared
error of the improved estimator. Incidently, they turn out to be minimum variance unbiased estimators. Further, this exercise
yields a simple formula for estimating the standard error. Based on the criterion of estimated standard error, the efficiency
of the improved estimator with respect to the traditional unbiased estimator (i.e., sample mean) is examined numerically.
The relationship with asymptotic standard error is also studied. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|