Technical Note—A Comparison of the Method of Bounding Distributions (MBD) and Monte Carlo Simulation for Analyzing Stochastic Acyclic Networks

Operations Research - United States
doi 10.1287/opre.28.3.614
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Related search

Simulation and the Monte Carlo Method

Technometrics
ModelingApplied MathematicsStatisticsProbabilitySimulation
1982English

Comparison and Analysis of the Monte Carlo Simulation and GO Method for the Reliability of Equipment System

2016English

The Backward Monte Carlo Method for Semiconductor Device Simulation

Journal of Computational Electronics
Electronic EngineeringElectronicMolecular Physics,SimulationOpticalElectricalAtomicMagnetic MaterialsModelingOptics
2018English

Simulation and the Monte Carlo Method, 3rd Ed.

Journal of the American Statistical Association
UncertaintyStatisticsProbability
2019English

A Monte Carlo Method for Analyzing Mixed-Lattice Substitution Experiment Using McNp

AECL Nuclear Review
2012English

The Heston Stochastic-Local Volatility Model: Efficient Monte Carlo Simulation

International Journal of Theoretical and Applied Finance
EconomicsEconometricsFinance
2014English

Improving Cloud Simulation Using the Monte-Carlo Method

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2018English

Monte Carlo Simulation of Electron Avalanches and Avalanche Size Distributions in Methane

Contributions to Plasma Physics
Condensed Matter Physics
2018English

Accuracy of Reliability Calculated by the Monte Carlo Simulation Method

Vojnotehnicki glasnik
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy