Optimal Data Quality

Research output: Contribution to journalArticlepeer-review

Abstract

Commonly accepted hypotheses guide practical determination of needed data quality; for example, as the probability that a decision uses data increases, the needed data quality increases, and the more rudimentary the uses of the data, the less data quality is needed. These hypotheses are formally defined and analyzed in some decision-theoretic models. Conditions under which the hypotheses hold and fail are examined. Particular attention is given to determining needed data quality when the users of the data behave nonoptimally.
Original languageEnglish
Pages (from-to)564-573
JournalJournal of the American Statistical Association
Volume80
StatePublished - 1985

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