Finite mixture of regression models for censored data based on scale mixtures of normal distributions

CB Zeller, CRB Cabral, VH Lachos… - Advances in Data Analysis …, 2019 - Springer
In statistical analysis, particularly in econometrics, the finite mixture of regression models
based on the normality assumption is routinely used to analyze censored data. In this work …

Linear censored regression models with scale mixtures of normal distributions

AM Garay, VH Lachos, H Bolfarine, CRB Cabral - Statistical Papers, 2017 - Springer
In the framework of censored regression models the random errors are routinely assumed to
have a normal distribution, mainly for mathematical convenience. However, this method has …

Likelihood-based inference for the multivariate skew-t regression with censored or missing responses

KAL Valeriano, CE Galarza, LA Matos… - Journal of Multivariate …, 2023 - Elsevier
Skew-t regression models have been widely used to model and analyze asymmetric heavy-
tailed data. Moreover, observations in this kind of data can be missing or subject to some …

On a tobit–Birnbaum–Saunders model with an application to medical data

MF Desousa, H Saulo, V Leiva… - Journal of Applied …, 2018 - Taylor & Francis
The tobit model allows a censored response variable to be described by covariates. Its
applications cover different areas such as economics, engineering, environment and …

Finite mixture modeling of censored data using the multivariate Student-t distribution

VH Lachos, EJL Moreno, K Chen… - Journal of Multivariate …, 2017 - Elsevier
Finite mixture models have been widely used for the modeling and analysis of data from a
heterogeneous population. Moreover, data of this kind can be subject to some upper and/or …

Estimation and diagnostic for skew-normal partially linear models

CS Ferreira, GA Paula - Journal of Applied Statistics, 2017 - Taylor & Francis
Partially linear models (PLMs) are an important tool in modelling economic and biometric
data and are considered as a flexible generalization of the linear model by including a …

Inference and diagnostics for censored linear regression model with skewed generalized t distribution

C Lian, Y Rong, J Liang, R Guan… - Journal of Applied …, 2024 - Taylor & Francis
In recent years, some interested data can be recorded only if the values fall within an interval
range, and the responses are often subject to censoring. Attempting to perform effective …

Bayesian analysis of censored linear regression models with scale mixtures of normal distributions

AM Garay, H Bolfarine, VH Lachos… - Journal of Applied …, 2015 - Taylor & Francis
As is the case of many studies, the data collected are limited and an exact value is recorded
only if it falls within an interval range. Hence, the responses can be either left, interval or …

Likelihood-based inference for censored linear regression models with scale mixtures of skew-normal distributions

TB Mattos, AM Garay, VH Lachos - Journal of Applied Statistics, 2018 - Taylor & Francis
In many studies, the data collected are subject to some upper and lower detection limits.
Hence, the responses are either left or right censored. A complication arises when these …

Heckman selection-t model: Parameter estimation via the EM-algorithm

VH Lachos, MO Prates, DK Dey - Journal of Multivariate Analysis, 2021 - Elsevier
The Heckman selection model is perhaps the most popular econometric model in the
analysis of data with sample selection. The analyses of this model are based on the …