How adding new information modifies the estimation of the mean and the variance in PERT: a maximum entropy distribution approach

DOI10.1007/S10479-018-2857-4zbMath1409.62114OpenAlexW2801726099WikidataQ129980799 ScholiaQ129980799MaRDI QIDQ1730716

M. P. Fernández-Sánchez, Agustín Hernández-Bastida

Publication date: 6 March 2019

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-018-2857-4

zbMATH Keywords

maximum entropyPERTunimodalitybeta distribution

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12)

Related Items (1)

Evaluating the project completion time when activity networks follow beta distribution

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Evaluating project completion times when activity times are Weibull distributed
• A note on the reasonableness of PERT hypotheses
• Proposal of a new distribution in PERT methodology
• Time-cost trade-off via optimal control theory in Markov PERT networks
• Some Results Concerning the Estimation of Beta Distribution Parameters in PERT
• On the Distribution of Activity Time in PERT
• Another Look at the PERT Assumptions
• Application of a Technique for Research and Development Program Evaluation
• An approximation of the activity duration distribution in PERT.

This page was built for publication: How adding new information modifies the estimation of the mean and the variance in PERT: a maximum entropy distribution approach