A probabilistic model for identifying errors in data editing

TY - JOUR

T1 - A probabilistic model for identifying errors in data editing

AU - Naus, Joseph I.

AU - Johnson, Thomas G.

AU - Montalvo, Ramiro

PY - 1972/12

Y1 - 1972/12

N2 - 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.

AB - 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.

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U2 - https://doi.org/10.1080/01621459.1972.10481323

DO - https://doi.org/10.1080/01621459.1972.10481323

M3 - Article

SN - 0162-1459

VL - 67

SP - 943

EP - 950

JO - Journal of the American Statistical Association

JF - Journal of the American Statistical Association

IS - 340

ER -