Characterization of the Mixtures of Gompertz Distributions by Conditional Expectation of Order Statistics
From MaRDI portal
Publication:4260098
DOI<link itemprop=identifier href="https://doi.org/10.1002/(SICI)1521-4036(199906)41:3<371::AID-BIMJ371>3.0.CO;2-M" /><371::AID-BIMJ371>3.0.CO;2-M 10.1002/(SICI)1521-4036(199906)41:3<371::AID-BIMJ371>3.0.CO;2-MzbMath0924.62020OpenAlexW2077569953MaRDI QIDQ4260098
No author found.
Publication date: 9 November 1999
Full work available at URL: https://doi.org/10.1002/(sici)1521-4036(199906)41:3<371::aid-bimj371>3.0.co;2-m
order statisticsconditional expectationcarcinogenesishazard rate functionmixtures of Gompertz distributions
Related Items (13)
Bayesian prediction under a mixture of two-component Gompertz lifetime model ⋮ Estimation of parameters of the Gompertz distribution using the least squares method ⋮ Characterization of Mixtures of Weibull and Pareto Distributions Based on Conditional Expectation of Order Statistics ⋮ Estimating E-bayesian and hierarchical bayesian of scalar parameter of gompertz distribution under type II censoring schemes based on fuzzy data ⋮ Bayesian inference for the parameters of mortality rate in the models of dependent lives with application in life insurance ⋮ Characterization of the mixtures of Rayleigh distributions by conditional expectation of order statistics ⋮ Unnamed Item ⋮ Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data ⋮ Bayes estimation of Gompertz distribution parameters and acceleration factor under partially accelerated life tests with type-I censoring ⋮ A dynamic system for Gompertz model ⋮ The beta generalized Gompertz distribution ⋮ Estimation of the parameters of the Gompertz distribution under the first failure-censored sampling plan ⋮ On the Characterization of a Mixture of Generalized Power Function Distributions by Conditional Expectation of Order Statistics
This page was built for publication: Characterization of the Mixtures of Gompertz Distributions by Conditional Expectation of Order Statistics