In the survey sampling literature, using auxiliary information increase the efficiency of estimators. Sometimes we can get auxiliary information as qualitative form. In this study, by taking the advantage of correlation between the study variable and auxiliary attribute, we have improved the estimation of population mean in stratified random sampling. Under this sampling scheme, the expressions for bias and mean square error have been obtained. To show the efficiency of proposed estimator over the existing estimator, we have made a comparative study using a real data set
We propose a new estimator for the population variance using an aux-iliary variable in simple random...
In this article, a combined general family of estimators is proposed for estimating finite populatio...
This manuscript deals with the estimation of population mean in stratified random sampling where the...
An exponential family of estimators, which use the information of two auxiliary variables in the str...
An exponential family of estimators, which use the information of two auxiliary variables in the str...
In this article we have considered the problem of estimating the population mean in the strati...
In this paper, a new exponential type estimator is developed in the stratified random sampling for t...
Abstract: This article proposes a class of exponential type estimators for estimating population var...
In the present study, we propose a new estimator for population mean in the case of stratified...
Using the classical regression approach, we offer a new estimator for the population total, utilizin...
This paper introduces an estimator of population mean Y of the study variable y using auxiliary vari...
In stratified random sampling from a finite population, when information on an auxiliary variable is...
It is well established in sample surveys that auxiliary information is often used to improve the pre...
The use of auxiliary population information to improve estimation and analysis in sample surveys is ...
Diana (1993) introduced a family of estimators in the stratified random sampling to estimate the pop...
We propose a new estimator for the population variance using an aux-iliary variable in simple random...
In this article, a combined general family of estimators is proposed for estimating finite populatio...
This manuscript deals with the estimation of population mean in stratified random sampling where the...
An exponential family of estimators, which use the information of two auxiliary variables in the str...
An exponential family of estimators, which use the information of two auxiliary variables in the str...
In this article we have considered the problem of estimating the population mean in the strati...
In this paper, a new exponential type estimator is developed in the stratified random sampling for t...
Abstract: This article proposes a class of exponential type estimators for estimating population var...
In the present study, we propose a new estimator for population mean in the case of stratified...
Using the classical regression approach, we offer a new estimator for the population total, utilizin...
This paper introduces an estimator of population mean Y of the study variable y using auxiliary vari...
In stratified random sampling from a finite population, when information on an auxiliary variable is...
It is well established in sample surveys that auxiliary information is often used to improve the pre...
The use of auxiliary population information to improve estimation and analysis in sample surveys is ...
Diana (1993) introduced a family of estimators in the stratified random sampling to estimate the pop...
We propose a new estimator for the population variance using an aux-iliary variable in simple random...
In this article, a combined general family of estimators is proposed for estimating finite populatio...
This manuscript deals with the estimation of population mean in stratified random sampling where the...