Search Results - "H. Lachos, Víctor"

Linear mixed models based on skew scale mixtures of normal distributions by Ferreira, Clécio S., Bolfarine, Heleno, Lachos, Víctor H.

“…Scale mixtures of normal distributions are useful for statistical procedures involving symmetric and heavy-tailed data. Ferreira, Lachos, and Bolfarine ( 2016…”
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Finite Mixture of Censored Linear Mixed Models for Irregularly Observed Longitudinal Data by de Alencar, Francisco H. C., Matos, Larissa A, Lachos, Víctor H.

“…Linear mixed-effects models are commonly used when multiple correlated measurements are made for each unit of interest. Some inherent features of these data…”
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Robust mixture regression modeling based on scale mixtures of skew-normal distributions by Zeller, Camila B., Cabral, Celso R. B., Lachos, Víctor H.

“…The traditional estimation of mixture regression models is based on the assumption of normality (symmetry) of component errors and thus is sensitive to…”
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Inference and diagnostics for heteroscedastic nonlinear regression models under skew scale mixtures of normal distributions by da Silva Ferreira, Clécio, Lachos, Víctor H., Garay, Aldo M.

“…The heteroscedastic nonlinear regression model (HNLM) is an important tool in data modeling. In this paper we propose a HNLM considering skew scale mixtures of…”
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Heavy-tailed longitudinal regression models for censored data: a robust parametric approach by Matos, Larissa A., Lachos, Víctor H., Lin, Tsung-I, Castro, Luis M.

“…Longitudinal HIV-1 RNA viral load measures are often subject to censoring due to upper and lower detection limits depending on the quantification assays. A…”
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Censored mixed-effects models for irregularly observed repeated measures with applications to HIV viral loads by Matos, Larissa A., Castro, Luis M., Lachos, Víctor H.

“…In some acquired immunodeficiency syndrome (AIDS) clinical trials, the human immunodeficiency virus-1 ribonucleic acid measurements are collected irregularly…”
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Likelihood-based inference for multivariate skew scale mixtures of normal distributions by Ferreira, Clécio S., Lachos, Víctor H., Bolfarine, Heleno

“…Scale mixtures of normal distributions are often used as a challenging class for statistical analysis of symmetrical data. Recently, Ferreira et al. (Stat…”
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Inference and diagnostics in skew scale mixtures of normal regression models by Ferreira, Clécio S., Lachos, Víctor H., Bolfarine, Heleno

“…Skew scale mixtures of normal distributions are often used for statistical procedures involving asymmetric data and heavy-tailed. The main virtue of the…”
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Flexible regression modeling for censored data based on mixtures of student-t distributions by Lachos, Víctor H., Cabral, Celso R. B., Prates, Marcos O., Dey, Dipak K.

“…In some applications of censored regression models, the distribution of the error terms departs significantly from normality, for instance, in the presence of…”
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Influence diagnostics for Student-t censored linear regression models by Massuia, Monique B., Cabral, Celso Rômulo Barbosa, Matos, Larissa A., Lachos, Víctor H.

“…In this paper, we extend the censored linear regression model with normal errors to Student-t errors. A simple EM-type algorithm for iteratively computing…”
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Multivariate measurement error models based on Student-t distribution under censored responses by Matos, Larissa A., Castro, Luis M., Cabral, Celso R. B., Lachos, Víctor H.

“…Measurement error models constitute a wide class of models that include linear and nonlinear regression models. They are very useful to model many real-life…”
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A nonlinear regression model with skew-normal errors by Cancho, Vicente G., Lachos, Víctor H., Ortega, Edwin M. M.

“…In this paper we have discussed inference aspects of the skew-normal nonlinear regression models following both, a classical and Bayesian approach, extending…”
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Statistical diagnostics for nonlinear regression models based on scale mixtures of skew-normal distributions by Garay, Aldo M., Lachos, Víctor H., Labra, Filidor V., Ortega, Edwin M.M.

“…The purpose of this paper is to develop diagnostics analysis for nonlinear regression models (NLMs) under scale mixtures of skew-normal (SMSN) distributions…”
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Inference for a skew extension of the Grubbs model by Montenegro, Lourdes C., Lachos, Víctor H., Bolfarine, Heleno

“…In this paper, we discuss inferential aspects for the Grubbs model when the unknown quantity x (latent response) follows a skew-normal distribution, extending…”
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On moments of folded and truncated multivariate Student-t distributions based on recurrence relations by Galarza, Christian E., Lin, Tsung-I, Wang, Wan-Lun, Lachos, Víctor H.

“…The use of the first two moments of the truncated multivariate Student-t distribution has attracted increasing attention from a wide range of applications…”
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Robust mixture modeling based on scale mixtures of skew-normal distributions by Basso, Rodrigo M., Lachos, Víctor H., Cabral, Celso Rômulo Barbosa, Ghosh, Pulak

“…A flexible class of probability distributions, convenient for modeling data with skewness behavior, discrepant observations and population heterogeneity is…”
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On estimation and influence diagnostics for zero-inflated negative binomial regression models by Garay, Aldo M., Hashimoto, Elizabeth M., Ortega, Edwin M.M., Lachos, Víctor H.

“…The zero-inflated negative binomial model is used to account for overdispersion detected in data that are initially analyzed under the zero-inflated Poisson…”
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A mixed-effect model for positive responses augmented by zeros by Rodrigues-Motta, Mariana, Galvis Soto, Diana Milena, Lachos, Victor H., Vilca, Filidor, Baltar, Valéria Troncoso, Junior, Eliseu Verly, Fisberg, Regina Mara, Lobo Marchioni, Dirce Maria

“…In this research article, we propose a class of models for positive and zero responses by means of a zero‐augmented mixed regression model. Under this class,…”
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Likelihood-based inference for multivariate skew scale mixtures of normal distributions by Ferreira, Clécio S., Lachos, Víctor H., Bolfarine, Heleno

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Statistical analysis of controlled calibration model with replicates by Blas, Betsabé, Bolfarine, Heleno, Lachos, Victor. H.

“…In this work, we generalize the controlled calibration model by assuming replication on both variables. Likelihood-based methodology is used to estimate the…”
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