Bayesian and classical inference for the generalized gamma distribution and related models
The generalized gamma (GG) distribution is an important model that has proven to be very flexible in practice for modeling data from several areas. This model has important sub-models, such as the Weibull, gamma, lognormal, Nakagami-m distributions, among others. In this work, our main objective is...
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| Format: | Others |
| Language: | en |
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Biblioteca Digitais de Teses e Dissertações da USP
2018
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/104/104131/tde-03012019-143627/ |