Stratified progressive random sampling

Plinio A. De los Santos, Richard Burke, James M. Tien

Research output: Contribution to journalConference articlepeer-review


A number of applications, including claims made under Federal social welfare programs, require retrospective sampling over multiple time periods. A common characteristic of such samples is that population members could appear in multiple time periods. When this occurs, and when the marginal cost of obtaining multi-period information is minimum for a member appearing in the sample of the period being actively sampled, the progressive random sampling method developed by the authors earlier [2] can be applied. This paper enhances the progressive random sampling method by combining it with stratification schemes; the resultant Stratified Progressive Random Sampling (SPRS) technique is shown to provide significant improvement over traditional sampling techniques whenever stratification is appropriate.

Original languageEnglish (US)
Pages (from-to)I-120 - I-125
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
StatePublished - Dec 1 1999
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: Oct 12 1999Oct 15 1999

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture


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