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Research article

First published 2020-8

A novel reliability sensitivity analysis method based on directional sampling and Monte Carlo simulation

Xiaobo Zhang, Zhenzhou Lu, Kai Cheng [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2024-8

Quantifying the impact of sensor precision on power output of a wind turbine: A sensitivity analysis via Monte Carlo simulation study

Moein Sarbandi, Hamid Khaloozadeh

Wind Engineering

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Other

First published 2011-7

Uncertainty and sensitivity analyses of heat fire detector model based on Monte Carlo simulation

Depeng Kong, Shouxiang Lu, Lei Feng [...]

Journal of Fire Sciences

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Other

First published 1986-12

Monte Carlo Sensitivity Analysis

Medical Decision Making

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Research article

First published 2014-1

Use of Monte Carlo Simulation for a Sensitivity Analysis of Highway Safety Manual Calibration Factors

Vanvi Trieu, Seri Park, John McFadden

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2015-6

Global sensitivity analysis for model with random inputs characterized by probability-box

Jingwen Song, Zhenzhou Lu, Pengfei Wei [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 1985-6

Probabilistic Sensitivity Analysis Using Monte Carlo Simulation

Peter Doubilet, Colin B. Begg, Milton C. Weinstein [...]

Medical Decision Making

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Other

First published 2003-12

Experimental Design in Systems Biology,Based on Parameter Sensitivity Analysis Using a Monte Carlo Method: A Case Study for the TNFα-Mediated NF-κ B Signal Transduction Pathway

Kwang-Hyun Cho, Sung-Young Shin, Walter Kolch [...]

SIMULATION

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Research article

First published 2015-1

Integrated strategy for berth allocation and crane assignment on a continuous berth using Monte Carlo simulation

Mingjun Ji, Huiling Zhu, Qingbin Wang [...]

SIMULATION

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Research article

First published 2014-7

Field validation of controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance

Theanh Nguyen, Tommy HT Chan, David P Thambiratnam

Structural Health Monitoring

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