stratified sample

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Related to stratified sampling: random sampling, Systematic sampling, Cluster sampling

strat·i·fied sam·ple

a subset of a total population, defined by some objective criterion such as age or occupation, is sampled.

stratified sample

See sample.
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The three step approach that the software requires to perform the Monte Carlo simulation for stratified sampling plan is as follows:
Combining this ability to adjust sampling stratification with the established method of optimized stratified sampling, the majority of the sample effort can be targeted to the strata likely to have the highest variability in density and most likely the nuisance levels.
With poststratification, sample sizes within strata are random variables--which are an additional source of variability over that of a stratified sampling variance estimator (Thompson, 1992; Scheaffer et al.
An additional 16 sites were sampled using the structured stratified sampling pattern (McIntosh et al.
Jurors are selected in one of three ways: random sampling, representative sampling, or stratified sampling.
Stratified sampling is a procedure that splits the population of transactions into "strata" or levels.
Stratified sampling is frequently recommended as the most efficient procedure for ensuring representativeness.
There was an improvement of between 30 and 60 percent in the coefficient of variation of the estimated catch numbers at age using the 1 for 1 compared with the 3 for 3 stratified sampling.
Patented replicated stratified sampling reduces run time to help executives better understand risk
A stratified sampling technique was used in which age and gender strata were randomly sampled based on percentage quotas produced from the population pool.
The topics include a cautionary tale about measurement error in treatment effects models, likelihood-based estimators for endogenous or truncated samples in standard stratified sampling, average derivative estimation with missing responses, efficient probit estimation with partially missing co-variates, and a missing variable imputation methodology with an empirical application.
Blending is carried out by running the blender for a period of time, usually defined during product development and validation, and then blending is stopped, opened and the material sampled using 'sample thief' following a stratified sampling regime.