Kim and Yu (2011) discussed replication variance estimator for two-phase stratified sampling. In this paper estimators for mean have been proposed in two-phase stratified sampling for different situation of existence of non-response at first phase and second phase. The expressions of variances of these estimators have been derived. Furthermore, replication-based jackknife variance estimators of these variances have also been derived. Simulation study has been conducted to investigate the performance of the suggested estimators
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...
In estimating the population mean of a study variable y, we can often use a ratio-type estimator whe...
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
In two-phase sampling, the second-phase sample is often a stratified sample based on the information...
The present investigation deals with the problem of estimation of population variance in presence of...
The present investigation deals with the problem of estimation of population variance in presence of...
A replication variance estimation method for the regression estimator in two phase samples is descri...
We propose a jackknife variance estimator for the pop-ulation average from two, two-phase samples af...
Not AvailableTwo new Jackknife methods, as the counterparts of two existing Bootstrap methods of var...
Replication methods are used frequently to con-struct variance estimators under complex sampling des...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
1 Abstract 1 Many surveys employ weight adjustment procedures to compensate for unit non-response. T...
This paper discusses estimation of the population total in double sampling for stratification in the...
Imputation is commonly used for missing data in sample surveys. Usually the imputed values are treat...
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...
In estimating the population mean of a study variable y, we can often use a ratio-type estimator whe...
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
In two-phase sampling, the second-phase sample is often a stratified sample based on the information...
The present investigation deals with the problem of estimation of population variance in presence of...
The present investigation deals with the problem of estimation of population variance in presence of...
A replication variance estimation method for the regression estimator in two phase samples is descri...
We propose a jackknife variance estimator for the pop-ulation average from two, two-phase samples af...
Not AvailableTwo new Jackknife methods, as the counterparts of two existing Bootstrap methods of var...
Replication methods are used frequently to con-struct variance estimators under complex sampling des...
Several features of sample surveys generally render inapplicable the st and ard explicit forms of va...
1 Abstract 1 Many surveys employ weight adjustment procedures to compensate for unit non-response. T...
This paper discusses estimation of the population total in double sampling for stratification in the...
Imputation is commonly used for missing data in sample surveys. Usually the imputed values are treat...
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...
In estimating the population mean of a study variable y, we can often use a ratio-type estimator whe...
In this paper, separate and combined ratio type estimators have been proposed in presence of non-res...