A two-phase sampling design with order sampling in the first phase and stratified simple random sampling in the second phase is studied in the paper. Order sampling is a sampling design with-out replacement and with the elements selected with probabilities proportional to their size. The second-phase stratification using suitably chosen sample sizes in the strata allows us to equalize the design weights for elements. Calculation of the first-phase inclusion probabilities is computationally complicated, therefore the quasi-Horvitz-Thompson estimator of the total is used. Its approximate variance, the estimator of this variance and simulation results are presented
A two-term Edgeworth expansion for the standardized version of the sample total in a two-stage sampl...
Two-stage selection procedures have been widely studied and applied to determine appropri-ate sample...
In stratified sampling, methods for the allocation of effort among strata usually rely on some measu...
In estimating the population mean of a study variable y, we can often use a ratio-type estimator whe...
In this paper a two-phase approach that gives a fixed sample size and unequal inclu-sion probabiliti...
In this paper we obtain some results concerning the optimum allocation of sampling effort among k st...
We proposed an alternative two-phase stratified ranked set sampling. A comparison of the performance...
Two-phase sampling is a procedure in which sampling and data collection is conducted in two phases, ...
Not AvailableIn the present study sampling on two occasions has been extended to cover the case of d...
In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
We analyse design-based properties of two-phase strategies for estimating totals and nonlinear funct...
Straipsnyje aptariama dviejų fazių ėmimo sluoksniavimui imties plano sudarymo eiga nagrinėjamuoju at...
Two-stage sampling designs are commonly used for household and health surveys. To produce reliable e...
Use of ranks in unequal probability sampling is examined for sample selection, stratification as wel...
A two-term Edgeworth expansion for the standardized version of the sample total in a two-stage sampl...
Two-stage selection procedures have been widely studied and applied to determine appropri-ate sample...
In stratified sampling, methods for the allocation of effort among strata usually rely on some measu...
In estimating the population mean of a study variable y, we can often use a ratio-type estimator whe...
In this paper a two-phase approach that gives a fixed sample size and unequal inclu-sion probabiliti...
In this paper we obtain some results concerning the optimum allocation of sampling effort among k st...
We proposed an alternative two-phase stratified ranked set sampling. A comparison of the performance...
Two-phase sampling is a procedure in which sampling and data collection is conducted in two phases, ...
Not AvailableIn the present study sampling on two occasions has been extended to cover the case of d...
In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where...
In two-phase sampling for stratification, the second-phase sample is selected by a stratified sample...
We analyse design-based properties of two-phase strategies for estimating totals and nonlinear funct...
Straipsnyje aptariama dviejų fazių ėmimo sluoksniavimui imties plano sudarymo eiga nagrinėjamuoju at...
Two-stage sampling designs are commonly used for household and health surveys. To produce reliable e...
Use of ranks in unequal probability sampling is examined for sample selection, stratification as wel...
A two-term Edgeworth expansion for the standardized version of the sample total in a two-stage sampl...
Two-stage selection procedures have been widely studied and applied to determine appropri-ate sample...
In stratified sampling, methods for the allocation of effort among strata usually rely on some measu...