Examples of using Stratified sampling in English and their translations into Russian
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Stratified sampling with SI sampling in each stratum(please specify the stratification variables);
The survey is based on random two-stage stratified sampling.
Stratified sampling ensured representation of all districts, proportionally to the number of markets.
Often this clustering is one component of a multistage stratified sampling process.
Stratified sampling with PPS sampling in each stratum(please specify the stratification variables);
Subjects residing in cities andrural areas were recruited using stratified sampling.
When no clustering is involved, instead, the formulas for random stratified sampling(Eq.10-11) would lead to unbiased estimates of the standard error.
In quota sampling, a population is first segmented into mutually exclusive sub-groups,just as in stratified sampling.
The municipalities andmajor cities are selected using stratified sampling with probabilities proportional to population size(PPS) in each stratum region.
The source is the Register of Economic Organizations;enterprises are selected for data supply by means of a random stratified sampling procedure.
In so far as stratified sampling aims to improve the overall precision of the sample, it will usually have no effect per se on the comparability of the survey.
T he lo ci focused, using four neighborhoods of SINAN in simple sampling notifications andnotifications of the UMS- Fatima as stratified sampling.
Stratified sampling is a variation of this approach, in which the group is first divided into subgroups in such a way that each subgroup has similar characteristics.
As discussed below,such increased precision for specific groups can, in some cases, be obtained at a lower cost by the use of disproportionate stratified sampling.
Disproportionate stratified sampling allows researchers to generate more precise esti- mates for a specific subpopulation of interest by drawing a larger sample from this category.
Section 2 describes cut-off sampling and three probability techniques:simple random sampling, stratified sampling and sampling proportional to size.
In the stratified sampling the elderly(aged>65) were overrepresented to compensate for their lower absolute number in population and a possibly higher nonresponse rate.
The present system of verification of continuous entitlement and the issuance of Certificates of Entitlement should be studied and evaluated taking into consideration practicality of procedures, available technology andan adequate coverage of beneficiaries including the adoption of stratified sampling in the sample selection.
A two stage stratified sampling strategy will be used, with the main stratification being geography(Estimation Areas and Local Authority Districts) and a Hard to Count(HtC) index.
If the population density varies greatly within a region, stratified sampling will ensure that estimates can be made with equal accuracy in different parts of the region, and that comparisons of sub-regions can be made with equal statistical power.
Stratified sampling was carried out in the Municipal Health Unit of Fatima, in Bethlehem and this had the observational experience the program Directl y Observed Therapy Short-Course(DOTS), the acronym DOTS originates from English, where in its translation to the Portuguese language means Treatment Directly accompanied by short-lived.
The reasons to use stratified sampling rather than simple random sampling include If measurements within strata have lower standard deviation, stratification gives smaller error in estimation.
The survey used the random stratified sampling method with respect to the size of enterprises and the type of their activity, so the size and sector-related distribution of the sample deviated slightly from the actual structure of the SME community in Georgia.
Therefore key outputs are stratified samples, and supporting population data.
Stratified sample survey of firms.
The survey used a multi-stage probability stratified sample randomized at every stage.
In a stratified sample, the best estimate of the population variance is not given by this formula, which would correspond to the standard deviation of one stratum.
If the means of the various strata are different, the SE for a stratified sample of size n would be smaller than for a simple random sample of the same size.
A proportionate stratified sample of classes may prove to be more precise than a simple random sample of classes, but sample size should not be reduced for the sake of such expected benefits.