Robust estimation in finite populations I

Richard M. Royall, Jay Herson

Research output: Contribution to journalArticlepeer-review

Abstract

This is an application of a least-squares prediction approach to finite population sampling theory. One way in which this approach differs from the conventional one is its focus on characteristics of particular samples rather than on plans for choosing samples. Here we study samples in which many superpopulation models lead to the same optimal (BLU) estimator. Random sampling is considered in the light of these results.

Original languageEnglish (US)
Pages (from-to)880-889
Number of pages10
JournalJournal of the American Statistical Association
Volume68
Issue number344
DOIs
StatePublished - Dec 1973
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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