Add to ORKGwww.idescat.net/sort A family of ratio estimators for population mean in extreme ranked set sampling using two auxiliary variables Abdul Haq and Javid Shabbir∗ Quaid-i-Azam University In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked set sampling (ERSS) using information on single and two auxiliary variables. Expressions for mean square error (MSE) of proposed estimators are derived to first order of approximation. Monte Carlo simulations and real data sets have been used to illustrate the method. The results indicate that the estimators under ERSS are more efficient as compared to estimators based on simple random sampling (SRS), when the underlying populations are symmetric. MSC: 62DO
In this paper, we propose modified ratio estimators using some known values of coefficient of variat...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estim...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In this paper, modified ratio estimators of the population mean are suggested using double extreme r...
Regression is used to estimate the population mean of the response variable, , in the two cases wher...
Regression is used to estimate the population mean of the response variable, , in the two cases wher...
The ranked set sampling (RSS) method as suggested by McIntyre (1952) may be modified to come up with...
In this paper, a robust extreme ranked set sampling (RERSS) procedure for estimating the population ...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
Stratified extreme ranked set sample (SERSS) is introduced. The performance of the combined and sepa...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
The paper provides estimation of the odds ratio between two independent groups using two types of Mo...
In this paper, we propose modified ratio estimators using some known values of coefficient of variat...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estim...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In this paper we have adopted the Khoshnevisan et al. (2007) family of estimators to extreme ranked ...
In this paper, modified ratio estimators of the population mean are suggested using double extreme r...
Regression is used to estimate the population mean of the response variable, , in the two cases wher...
Regression is used to estimate the population mean of the response variable, , in the two cases wher...
The ranked set sampling (RSS) method as suggested by McIntyre (1952) may be modified to come up with...
In this paper, a robust extreme ranked set sampling (RERSS) procedure for estimating the population ...
This paper is concerned with ranked set sampling theory which is useful to estimate the population m...
Stratified extreme ranked set sample (SERSS) is introduced. The performance of the combined and sepa...
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimator...
The paper provides estimation of the odds ratio between two independent groups using two types of Mo...
In this paper, we propose modified ratio estimators using some known values of coefficient of variat...
In this paper, we propose an efficient class of ratio-in-exponential-type estimators with two concom...
Stratified double extreme ranked set sampling (SDERSS) method is introduced and considered for estim...