A probabilistic model for identifying errors in data editing

Joseph Naus, Thomas G. Johnson, Ramiro Montalvo

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Certain data screening systems incorporate large numbers of logical checks on data entering the system. When violated, these logical checks indicate that various combinations of variates are in error. This article provides a model for assigning a probability measure to identify variates in error when there is a simultaneous violation of a set of logical checks. For certain symmetry conditions, the measure is a reasonable approximation to the posterior probability that given a violation of a set of conditions, a variate is in error.

Original languageEnglish (US)
Pages (from-to)943-950
Number of pages8
JournalJournal of the American Statistical Association
Volume67
Issue number340
DOIs
StatePublished - Jan 1 1972

Fingerprint

Probabilistic Model
Posterior Probability
Probability Measure
Screening
Symmetry
Approximation
Editing
Logic
Probabilistic model
Violations
Model
Posterior probability

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

Naus, Joseph ; Johnson, Thomas G. ; Montalvo, Ramiro. / A probabilistic model for identifying errors in data editing. In: Journal of the American Statistical Association. 1972 ; Vol. 67, No. 340. pp. 943-950.
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A probabilistic model for identifying errors in data editing. / Naus, Joseph; Johnson, Thomas G.; Montalvo, Ramiro.

In: Journal of the American Statistical Association, Vol. 67, No. 340, 01.01.1972, p. 943-950.

Research output: Contribution to journalArticle

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