Finite mixture of regression models for censored data based on the skew-t distribution
Finite mixture models have been widely used to model and analyze data from
heterogeneous populations. In practical scenarios, these types of data often confront upper …
heterogeneous populations. In practical scenarios, these types of data often confront upper …
Influence diagnostics for skew-t censored linear regression models
MS Oliveira, DCR Oliveira… - … for Statistical Applications …, 2023 - koreascience.kr
This paper proposes some diagnostics procedures for the skew-t linear regression model
with censored response. The skew-t distribution is an attractive family of asymmetrical heavy …
with censored response. The skew-t distribution is an attractive family of asymmetrical heavy …
Semiparametric inference for the scale-mixture of normal partial linear regression model with censored data
M Naderi, E Mirfarah, M Bernhardt… - Journal of Applied …, 2022 - Taylor & Francis
In the censored data exploration, the classical linear regression model which assumes
normally distributed random errors is perhaps one of the commonly used frameworks …
normally distributed random errors is perhaps one of the commonly used frameworks …
Robust restricted Liu estimator in censored semiparametric linear models
It is not unusual to have outliers and multicollinearity simultaneously in censored
semiparametric linear models. In this paper for dealing with multicollinearity and outliers we …
semiparametric linear models. In this paper for dealing with multicollinearity and outliers we …
Robust ridge estimator in censored semiparametric linear models
H Emami, K Arzideh - Communications in Statistics-Theory and …, 2023 - Taylor & Francis
Besides censoring, multicollinearity and outliers are two common problem in regression
analysis. In this paper we propose a family of robust ridge estimators for the censored …
analysis. In this paper we propose a family of robust ridge estimators for the censored …