SRS cannot accommodate the needs of researchers in this situation because it does not provide subsamples of the population . " Stratified sampling " addresses this weakness of SRS.
32.
While not necessary for simple sampling, a sampling frame used for more advanced sample techniques, such as stratified sampling, may contain additional information ( such as demographic information ).
33.
Within probability sampling, there are specialized techniques such as stratified sampling and cluster sampling that improve the precision or efficiency of the sampling process without altering the fundamental principles of probability sampling.
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Cross-validation in multi-label settings is complicated by the fact that the ordinary ( binary / multiclass ) way of stratified sampling will not work; alternative ways of approximate stratified sampling have been suggested.
35.
He extensively researched the number of speakers of various languages throughout the world ( by stratified sampling ), and contributed to the World Almanac's section on " Principal Languages of the World ".
36.
Cross-validation in multi-label settings is complicated by the fact that the ordinary ( binary / multiclass ) way of stratified sampling will not work; alternative ways of approximate stratified sampling have been suggested.
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The findings from Gallup's U . S . surveys are based on the organization's standard national telephone samples, consisting of list-assisted random-digit-dial ( RDD ) telephone samples using a proportionate, stratified sampling design.
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Whereas in stratified sampling ( its probabilistic version ), the chance of any unit of the population is the same as 1 / n ( n = number of units in the population ).
39.
Second, utilizing a stratified sampling method can lead to more efficient statistical estimates ( provided that strata are selected based upon relevance to the criterion in question, instead of availability of the samples ).
40.
The stratified sampling algorithm concentrates the sampling points in the regions where the variance of the function is largest thus reducing the grand variance and making the sampling more effective, as shown on the illustration.
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