Approximation of continuous random variables for the evaluation of the reliability parameter of complex stress-strength models

DOI10.1007/s10479-021-04010-6OpenAlexW3138666969MaRDI QIDQ2171315

Asmerilda Hitaj, Alessandro Barbiero

Publication date: 8 September 2022

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

Full work available at URL: https://doi.org/10.1007/s10479-021-04010-6

zbMATH Keywords

discretizationapproximationMonte Carlo simulationcumulative distribution functionmoment equalization

Mathematics Subject Classification ID

Approximations to statistical distributions (nonasymptotic) (62E17) Reliability and life testing (62N05)

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Discrete approximations of continuous probability distributions obtained by minimizing Cramér-von Mises-type distances ⋮ On discretization of continuous random variables for contingency tables: discrete Johnson systems of distribution as a case study with applications

Cites Work

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• Optimal quantization of the support of a continuous multivariate distribution based on mutual information
• A novel univariate marginal distribution algorithm based discretization algorithm
• The expected loss in the discretization of multistage stochastic programming problems---estimation and convergence rate
• Advances in multidimensional integration
• The optimal discretization of probability density functions
• A copula-based approach to account for dependence in stress-strength models
• Probability masses Fitting in the analysis of manufacturing flow lines
• Discrete approximations of continuous distributions by maximum entropy
• A Simple and Effective Discretization of a Continuous Random Variable
• Structural reliability under combined random load sequences
• Discrete Approximations to Continuous Univariate Distributions—an Alternative to Simulation
• Discrete Approximations of Probability Distributions
• Moment Methods for Decision Analysis
• Calculation of Gauss Quadrature Rules