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A Bayesian approach to the detection of gross errors based on posterior probability

✍ Scribed by Q. Gui; Y. Gong; G. Li; B. Li


Publisher
Springer-Verlag
Year
2007
Tongue
English
Weight
220 KB
Volume
81
Category
Article
ISSN
1432-1394

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This paper contributes to the problem of identification of gross errors in chemical engineering measurements. The methods hitherto suggested enable a set of quantities, suspicious as a possible source of gross errors, to be found. However, the set of suspicious quantities may be quite extensive in r