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An in-depth review of the Weibull model with a focus on various parameterizations
Gómez, Yolanda M.; Gallardo, Diego I.; Marchant, Carolina; Sánchez, Luis; Bourguignon, Marcelo (2024)The Weibull distribution is a versatile probability distribution widely applied in modeling the failure times of objects or systems. Its behavior is shaped by two essential parameters: the shape parameter and the scale ...
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Modeling income data via new parametric quantile regressions: formulation, computational statistics, and application
Saulo, Helton; Vila, Roberto; Borges, Giovanna V.; Bourguignon, Marcelo; Leiva, Victor; Marchant, Carolina (2023)Income modeling is crucial in determining workers’ earnings and is an important research topic in labor economics. Traditional regressions based on normal distributions are statistical models widely applied. However, income ...