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• SAS/STAT Procedures A-Z

The SURVEYSELECT Procedure

• selects simple random samples or selects samples according to a complex multistage sample design that includes stratification, clustering, and unequal probabilities of selection
• selects the sample and produces an output data set that contains the selected units, their selection probabilities, and their sampling weights
• provides methods for both equal probability sampling and probability proportional to size (PPS) sampling
• provides the following equal probability sampling methods:
  • simple random sampling
  • unrestricted random sampling (with replacement)
  • systematic random sampling
  • sequential random sampling
• provides the following probability proportional to size (PPS) methods:
  • PPS sampling without replacement
  • PPS sampling with replacement
  • PPS systematic sampling
  • PPS algorithms for selecting two units per stratum
  • sequential PPS sampling with minimum replacement
• can perform stratified sampling by selecting samples independently within the specified strata, or nonoverlapping subgroups of the survey population
• can sort by control variables within strata for the additional control of implicit stratification when using a systematic or sequential selection method
• provides survey design methods to allocate the total sample size among the strata
• allocation methods include proportional, Neyman, and optimal allocation
• provides replicated sampling, where the total sample is composed of a set of replicates, and each replicate is selected in the same way

For further details see the SAS/STAT User's Guide: The SURVEYSELECT Procedure
( PDF | HTML )

Examples

• Replicated Sampling
• PPS Selection of Two Units per Stratum
• PPS (Dollar-Unit) Sampling
• Proportional Allocation

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