This paper presents a family of dual to ratio-cum-product estimators for the finite population mean. Under simple random sampling without replacement (SRSWOR) scheme, expressions of the bias and mean-squared error (MSE) up to the first order of approximation are derived. We show that the proposed family is more efficient than usual unbiased estimator, ratio estimator, product estimator, Singh estimator (1967), Srivenkataramana (1980) and Bandyopadhyaya estimator (1980) and Singh et al. (2005) estimator. An empirical study is carried out to illustrate the performance of the constructed estimator over others
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sam...
In sample surveys several estimators like ratio estimator, product estimator, linear regression esti...
This paper deals with the problem of estimation of population mean in two-phase sampling. A ratio-pr...
This paper presents a family of dual to ratio-cum-product estimators for the finite population mean....
Abstract: This paper proposes a ratio-cum-dual to ratio estimator of finite population mean. The bia...
New estimators for estimating the finite population mean using two auxiliary variables under simple ...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
This paper suggests a ratio-cum-product estimator of finite population mean using a correlation coef...
In this paper, classes of separate and combined ratio-product estimators are proposed for estimatin...
In simple random sampling setting, the ratio estimator is more efficient than the mean of a simple r...
This paper suggests a two-parameter ratio-product-ratio type exponential estimator for a finite popu...
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sam...
It is well known that two-phase (or double) sampling is of significant use in practice when the popu...
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sam...
In sample surveys several estimators like ratio estimator, product estimator, linear regression esti...
This paper deals with the problem of estimation of population mean in two-phase sampling. A ratio-pr...
This paper presents a family of dual to ratio-cum-product estimators for the finite population mean....
Abstract: This paper proposes a ratio-cum-dual to ratio estimator of finite population mean. The bia...
New estimators for estimating the finite population mean using two auxiliary variables under simple ...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
In this paper we have considered the problem of estimating the population mean using auxiliary infor...
This paper suggests a ratio-cum-product estimator of finite population mean using a correlation coef...
In this paper, classes of separate and combined ratio-product estimators are proposed for estimatin...
In simple random sampling setting, the ratio estimator is more efficient than the mean of a simple r...
This paper suggests a two-parameter ratio-product-ratio type exponential estimator for a finite popu...
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sam...
It is well known that two-phase (or double) sampling is of significant use in practice when the popu...
This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sam...
In sample surveys several estimators like ratio estimator, product estimator, linear regression esti...
This paper deals with the problem of estimation of population mean in two-phase sampling. A ratio-pr...