The problem of nonparametric estimation of finite population distribution function using multiplicative bias correction technique is considered in this paper. A robust estimator of the finite population distribution function ...

Nonparametric estimation of population parameters for finite populations has been used with great success for data that fit the independent and identically distributed framework. However, most of these approaches do not ...

Chambers and Dorfman (2002) constructed bootstrap confidence intervals in model based estimation for finite population totals assuming that auxiliary values are available throughout a target population and that the auxiliary ...

In this paper, attempt to study effects of extreme observations on two estimators of finite population total theoretically and by simulation is made. We compare the ratio estimate with the local linear polynomial estimate ...

We propose a nonparametric regression approach to the estimation of a finite population total in model based frameworks in the case of stratified sampling. Similar work has been done, by Nadaraya and Watson (1964), Hansen ...

The objective of this paper is to develop an improved population variance estimators in the presence of two auxiliary variables in stratified random sampling adapting the family of estimators proposed by Koyunchu and ...

In this paper, attempt to study effects of outliers on two estimators of finite population total theoretically and by simulation is made. We compare the ratio estimate with the local linear polynomial estimate of finite ...

Nations strive to avoid losing revenue and human lives through long traffic snarl ups and frequent accidents on the roads. For this reason Considerations must be made to increase the number of lanes or even better to change ...

Poverty indicators are the fundamental statistics used to optimally determine the standards of living of people in any country. These are used for policy planing and analysis. Poverty indicators were estimated using ...

In this study, a multiplicative semiparametric fourth order bias reduction density is proposed. The proposed density accommodates all parametric distributions and produces optimum results even in situations where the ...