Prior Probabilities, Maximal Posterior, and Minimal Field Error Localization

G. E. Liepins and D. J. Pack
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G. E. Liepins: University of Georgia
D. J. Pack: Union Carbide Corporation, Nuclear Division

A chapter in Computer Science and Statistics: Proceedings of the 13th Symposium on the Interface, 1981, pp 375-378 from Springer

Abstract: Abstract One of the significant difficulties with automatic edit and imputation is that any attempt to rigorously justify the methods used must confront the problem of the “error model”: the observed record x is the true record y plus an error vector ε, $$ {\rm x = y + \varepsilon } $$ .

Keywords: Error Model; Prior Probability; Error Localization; Weighting Performance; Data Configuration (search for similar items in EconPapers)
Date: 1981
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DOI: 10.1007/978-1-4613-9464-8_63

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