Bayesian and non-Bayesian estimation of four-parameter of bivariate discrete inverse Weibull distribution with applications to model failure times, football and biological data

DOI10.2298/FIL2008511EOpenAlexW3129244267MaRDI QIDQ5866187

M. El-Morshedy, M. S. Eliwa

Publication date: 13 June 2022

Published in: Filomat (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2298/fil2008511e

zbMATH Keywords

simulationBayesian estimationlikelihood ratio test statisticbivariate discrete distributionsjoint hazard rate function

Mathematics Subject Classification ID

Bayesian inference (62F15) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10) Reliability and life testing (62N05)

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Cites Work

• Unnamed Item
• Unnamed Item
• A discrete inverse Weibull distribution and estimation of its parameters
• The beta modified Weibull distribution
• Bivariate generalized exponential distribution
• A priori ratemaking using bivariate Poisson regression models
• A discrete-time risk model with interaction between classes of business.
• A bivariate beta distribution.
• Bivariate exponentiated discrete Weibull distribution: statistical properties, estimation, simulation and applications
• Univariate and bivariate geometric discrete generalized exponential distributions
• On the first time of ruin in the bivariate compound Poisson model
• Statistical Methods for the Analysis of Repeated Measurements
• Bivariate discrete generalized exponential distribution
• A new two-parameter exponentiated discrete Lindley distribution: properties, estimation and applications
• Some properties of the bivariate Burr type III distribution
• Measures of multivariate skewness and kurtosis with applications
• The odd flexible Weibull-H family of distributions: Properties and estimation with applications to complete and upper record data
• On Two General Classes of Discrete Bivariate Distributions

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