A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution

DOI10.1080/00949655.2016.1195832zbMath1492.62094OpenAlexW2414939345MaRDI QIDQ5106766

Chin-Diew Lai, Gwo Dong Lin, Sarah Pirikahu, Kameswararao V. Govindaraju

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1195832

zbMATH Keywords

Weibullskewnessnonlinear transformationshape parameterMarshall-Olkin familyPearson product-moment correlation

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Survival analysis and censored data (62N99)

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Cites Work

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• An introduction to copulas.
• Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm
• Relationships between two extensions of Farlie-Gumbel-Morgenstern distribution
• Multivariate distributions having Weibull properties
• Correlation structure of the Marshall-Olkin bivariate exponential distribution
• A bivariate Gompertz-Makeham life distribution
• Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
• An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring
• Some properties of the bivariate normal distribution considered in the form of a contingency table
• Continuous Bivariate Distributions
• Bayes parameter estimation for the bivariate Weibull model of Marshall-Olkin for censored data (reliability theory)
• A Multivariate Exponential Distribution

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