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An Improved Approach for Estimating the Mean and Standard Deviation of a Subjective Probability Distribution

✍ Scribed by HON-SHIANG LAU; AMY HING-LING LAU; YUE ZHANG


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
236 KB
Volume
16
Category
Article
ISSN
0277-6693

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✦ Synopsis


The literature oers many formulas for estimating the mean and standard deviation of a subjective probability distribution (a well-known example is the PERT formulas). This paper shows that some basic underlying assumptions behind most of these formulas are inappropriate; a more appropriate framework is then proposed. We then develop new formulas that can estimate mean and standard deviation much more accurately than the currently available formulas.