Search Results - "Bourguignon, Marcelo"

An Alternative Conjugate Prior Distribution for Positive Parameters by Bourguignon, Marcelo

“…In this paper, we propose a new conjugate prior probability distribution to many likelihoods distributions. In particular, we use the weighted Lindley…”
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Birnbaum–Saunders frailty regression models for clustered survival data by Gallardo, Diego I., Bourguignon, Marcelo, Romeo, José S.

“…We present a novel frailty model for modeling clustered survival data. In particular, we consider the Birnbaum–Saunders (BS) distribution for the frailty terms…”
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AdequacyModel: An R package for probability distributions and general purpose optimization by Marinho, Pedro Rafael D, Silva, Rodrigo B, Bourguignon, Marcelo, Cordeiro, Gauss M, Nadarajah, Saralees

“…Several lifetime distributions have played an important role to fit survival data. However, for some of these models, the computation of maximum likelihood…”
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Cure rate models for heterogeneous competing causes by Brandão, Márcia, Leão, Jeremias, Gallardo, Diego Ignacio, Bourguignon, Marcelo

“…Cure rate models have been widely studied to analyze time-to-event data with a cured fraction of patients. In this type of model, the number of concurrent…”
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A new regression model for positive random variables with skewed and long tail by Bourguignon, Marcelo, Santos-Neto, Manoel, de Castro, Mário

“…In this paper, we propose a regression model where the response variable is beta prime distributed using a new parameterization of this distribution that is…”
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A simple and useful regression model for fitting count data by Bourguignon, Marcelo, de Medeiros, Rodrigo M. R.

“…We present a novel regression model for count data where the response variable is BerG-distributed using a new parameterization of this distribution, which is…”
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Regression models for exceedance data: a new approach by Bourguignon, Marcelo, do Nascimento, Fernando Ferraz

“…The generalized Pareto distribution (GPD) is a family of continuous distributions used to model the tail of the distribution to values higher than a threshold…”
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A simple and useful regression model for underdispersed count data based on Bernoulli–Poisson convolution by Bourguignon, Marcelo, Gallardo, Diego I., Medeiros, Rodrigo M. R.

“…Count data is often modeled using Poisson regression, although this probability model naturally restricts the conditional variance to be equal to the…”
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On some properties of the hazard rate function for compound distributions by Bakouch, Hassan S., Bourguignon, Marcelo, Chesneau, Christophe

“…The hazard rate function plays a crucial role to extract some informations of several random life phenomena. In this paper, we investigate important properties…”
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An In-Depth Review of the Weibull Model with a Focus on Various Parameterizations by Gómez, Yolanda M., Gallardo, Diego I., Marchant, Carolina, Sánchez, Luis, Bourguignon, Marcelo

“…The Weibull distribution is a versatile probability distribution widely applied in modeling the failure times of objects or systems. Its behavior is shaped by…”
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The Weibull-G Family of Probability Distributions by Bourguignon, Marcelo, Silva, Rodrigo B., Cordeiro, Gauss M.

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A Parametric Quantile Regression Model for Asymmetric Response Variables on the Real Line by Gallardo, Diego I., Bourguignon, Marcelo, Galarza, Christian E., Gómez, Héctor W.

“…In this paper, we introduce a novel parametric quantile regression model for asymmetric response variables, where the response variable follows a power…”
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On Underdispersed Count Kernels for Smoothing Probability Mass Functions by Kokonendji, Célestin C., Somé, Sobom M., Esstafa, Youssef, Bourguignon, Marcelo

“…Only a few count smoothers are available for the widespread use of discrete associated kernel estimators, and their constructions lack systematic approaches…”
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Modeling Income Data via New Parametric Quantile Regressions: Formulation, Computational Statistics, and Application by Saulo, Helton, Vila, Roberto, Borges, Giovanna V., Bourguignon, Marcelo, Leiva, Víctor, Marchant, Carolina

“…Income modeling is crucial in determining workers’ earnings and is an important research topic in labor economics. Traditional regressions based on normal…”
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A Note on Pareto-Type Distributions Parameterized by Its Mean and Precision Parameters by Bourguignon, Marcelo, Gallardo, Diego I., Gómez, Héctor J.

“…Pareto-type distributions are well-known distributions used to fit heavy-tailed data. However, the standard parameterizations used for Pareto-type…”
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General Results for the Transmuted Family of Distributions and New Models by Bourguignon, Marcelo, Cordeiro, Gauss M., Ghosh, Indranil

“…The transmuted family of distributions has been receiving increased attention over the last few years. For a baseline G distribution, we derive a simple…”
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A Compound Class of Inverse-Power Muth and Power Series Distributions by Barrios-Blanco, Leonardo, Gallardo, Diego I., Gómez, Héctor J., Bourguignon, Marcelo

“…This paper introduces the inverse-power Muth power series model, which is a composition of the inverse-power Muth and the class of power series distributions…”
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Control charts for monitoring the median in non-negative asymmetric data by Sales, Lucas O. F., Pinho, André L. S., Bourguignon, Marcelo, Medeiros, F. Moisés C.

“…Control charts are commonly used for monitoring the mean of processes. However, there are practical applications in which asymmetric data are the standard. In…”
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The exponentiated generalized extended exponential distribution by Andrade, Thiago A. N. de, Bourguignon, Marcelo, Cordeiro, Gauss M.

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The Exponentiated Generalized Gumbel Distribution by Andrade, Thiago, Rodrigues, Heloisa, Bourguignon, Marcelo, Cordeiro, Gauss

“…A class of univariate distributions called the exponentiated generalized class was recently proposed in the literature. A four-parameter model within this…”
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