Abstract
A procedure is developed for quantitative risk assessment of standard projects. This is a statistical approach based on the bootstrap method, which relies on a small set of variables and may be used with limited and incomplete historical data. Assessment of project risks by the bootstrap method yields point and interval values of a random variable corrected for bias. Those values may be used to identify the unknown distribution. That eliminates the significant deficiencies associated with the limits on the information and permits expanded application of risk management.
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Translated by B. Gilbert
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Ermolaeva, E.N., Kadykova, A.A. Assessing Project Risks. Russ. Engin. Res. 42, 416–419 (2022). https://doi.org/10.3103/S1068798X22040062
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DOI: https://doi.org/10.3103/S1068798X22040062