9 citations · 10 across the 5 of their papers we have counts for
3 papers · 1 filter
Generalizing the normality: a novel towards different estimation methods for skewed information
Diego C Nascimento, Pedro Luiz Ramos, David Elal-Olivero +2
Normality is the most often mathematical supposition used in data modeling. Nonetheless, even based on the law of large numbers (LLN), normality is a strong presumption given that…
Objective Bayesian Analysis for the Lomax Distribution
Paulo Ferreira, Jhon Gonzales, Vera Tomazella +3
In this paper we propose to make Bayesian inferences for the parameters of the Lomax distribution using non-informative priors, namely the Jeffreys prior and the reference prior. W…
Maximum Likelihood Estimation for the Weight Lindley Distribution Parameters under Different Types of Censoring
Pedro L. Ramos, Francisco Louzada, Vicente G. Cancho
In this paper the maximum likelihood equations for the parameters of the Weight Lindley distribution are studied considering different types of censoring, such as, type I, type II…