Robust estimation in finite populations II: Stratification on a size variable

Richard M. Royall, Jay Herson

Research output: Contribution to journalArticlepeer-review

50 Scopus citations


It has been established in Part I [3] that for estimating a finite population total, the estimators which are optimal under simple super-population models can be made insensitive to certain departures from the models by the choice of balanced samples. Here stratification on a size variable is considered as another technique for protecting against model failure. Together the two techniques, stratification and balanced sampling, are shown to provide more efficient protection than does balanced sampling alone. Questions of definition of strata and of allocation of sampling units among strata are also considered.

Original languageEnglish (US)
Pages (from-to)890-893
Number of pages4
JournalJournal of the American Statistical Association
Issue number344
StatePublished - Dec 1973
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty


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