
handle: 20.500.11770/282627
This paper introduces a new four-parameter lifetime model called the odd log-logistic Dagum distribution. The new model has the advantage of being capable of modeling various shapes of aging and failure criteria. We derive some structural properties of the model odd log-logistic Dagum such as order statistics and incomplete moments. The maximum likelihood method is used to estimate the model parameters. Simulation results to assess the performance of the maximum likelihood estimation are discussed. We prove empirically the importance and flexibility of the new model in modeling real data.
Maximum Likelihood, Reliability and life testing, Statistics, estadísticas de orden, Dagum distribution, 31 Colecciones de estadística general / Statistics, Dagum distribution; Maximum likelihood; Odd log-logistic family; Order statistics; Statistics and Probability, máxima verosimilitud, Odd Log-Logistic Family, HA1-4737, order statistics, 51 Matemáticas / Mathematics, distribución Dagum, odd log-logistic family, Characterization and structure theory of statistical distributions, Dagum Distribution, familia Odd-Log-Logística, maximum likelihood, Order Statistics
Maximum Likelihood, Reliability and life testing, Statistics, estadísticas de orden, Dagum distribution, 31 Colecciones de estadística general / Statistics, Dagum distribution; Maximum likelihood; Odd log-logistic family; Order statistics; Statistics and Probability, máxima verosimilitud, Odd Log-Logistic Family, HA1-4737, order statistics, 51 Matemáticas / Mathematics, distribución Dagum, odd log-logistic family, Characterization and structure theory of statistical distributions, Dagum Distribution, familia Odd-Log-Logística, maximum likelihood, Order Statistics
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