On bivariate Weibull-geometric distribution

DOI10.1016/j.jmva.2013.08.004zbMath1360.62058OpenAlexW2027966611MaRDI QIDQ391908

Debasis Kundu, Arjun K. Gupta

Publication date: 13 January 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2013.08.004

zbMATH Keywords

EM algorithmMonte Carlo simulationFisher information matrixWeibull distributiongeometric maximum

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Exact distribution theory in statistics (62E15)

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Cites Work

• Bivariate gamma-geometric law and its induced Lévy process
• A multivariate extension of Sarhan and Balakrishnan's bivariate distribution and its ageing and dependence properties
• Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm
• A new class of bivariate distributions and its mixture
• Bivariate generalized exponential distribution
• Modified Sarhan-Balakrishnan singular bivariate distribution
• Multivariate extension of modified Sarhan-Balakrishnan bivariate distribution
• Bayes estimation for the Marshall-Olkin bivariate Weibull distribution
• Test of fit for Marshall-Olkin distributions with applications
• How to Identify a Bathtub Hazard Rate
• Marshall–Olkin extended weibull distribution and its application to censored data
• A new method for adding a parameter to a family of distributions with application to the exponential and Weibull families
• Parameter Estimation for Partially Complete Time and Type of Failure Data
• Marshall–Olkin Extended Lomax Distribution and Its Application to Censored Data
• A Multivariate Exponential Distribution

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