Proposal of a new distribution in PERT methodology
From MaRDI portal
Publication:2430618
DOI10.1007/S10479-010-0783-1zbMath1254.90081OpenAlexW2052961609MaRDI QIDQ2430618
Catalina B. García García, Salvador Cruz Rambaud, José García Pérez
Publication date: 8 April 2011
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10479-010-0783-1
Exact distribution theory in statistics (62E15) Management decision making, including multiple objectives (90B50)
Related Items (3)
An alternative for robust estimation in project management ⋮ Fuzzy-probabilistic PERT ⋮ How adding new information modifies the estimation of the mean and the variance in PERT: a maximum entropy distribution approach
Cites Work
- The two-sided power distribution for the treatment of the uncertainty in PERT
- A note on the reasonableness of PERT hypotheses
- The parameters of the classical PERT. An assessment of its success
- Time-cost trade-off via optimal control theory in Markov PERT networks
- The robustness of mean and variance approximations in risk analysis
- Tests of Equality Between Sets of Coefficients in Two Linear Regressions
- Efficient sensitivity analysis of PERT network performance measures to significant changes in activity time parameters
- Some Results Concerning the Estimation of Beta Distribution Parameters in PERT
- Generalizations of Two-Sided Power Distributions and Their Convolution
- Functional estimation of activity criticality indices and sensitivity analysis of expected project completion time
- Constructively simple estimating: a project management example
- Application of a Technique for Research and Development Program Evaluation
- The Standard Two-Sided Power Distribution and its Properties
- THE GENERALIZED BIPARABOLIC DISTRIBUTION
- A lognormal approximation of activity duration in PERT using two time estimates
- Estimating completion-time distribution in stochastic activity networks
- A Statistical Theory for PERT Critical Path Analysis
This page was built for publication: Proposal of a new distribution in PERT methodology
