A procedure for the derivation of the best estimate when empirical data are unattainable

Hoi K. Suen

Research output: Contribution to journalArticle

Abstract

A procedure for the analysis of judgmental estimates when empirical information is unattainable is derived from sampling theory and a set of assumptions regarding the internal relationship between experience and the process of subjective estimation. The procedure uses a t-distribution concept to derive the relative experience of an expert and uses the derived experience as weight to obtain a weighted mean. The weighted mean is the best estimate given that it accounts for individual experience. Results from an empirical validation are presented. These results showed that the method was significantly more accurate than existing methods and the error m estimation was reduced by an average of one-half.

Original languageEnglish (US)
Pages (from-to)734-743
Number of pages10
JournalEvaluation Review
Volume8
Issue number5
DOIs
StatePublished - Oct 1984

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experience
sampling theory
expert
Empirical Data
Sampling

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Social Sciences(all)

Cite this

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A procedure for the derivation of the best estimate when empirical data are unattainable. / Suen, Hoi K.

In: Evaluation Review, Vol. 8, No. 5, 10.1984, p. 734-743.

Research output: Contribution to journalArticle

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