Power Truncated Positive Normal Distribution: A Quantile Regression Approach Applied to Health Databases DOI Creative Commons
Karol I. Santoro,

Hugo Gómez,

Isaac E. Cortés

et al.

Axioms, Journal Year: 2024, Volume and Issue: 13(12), P. 811 - 811

Published: Nov. 21, 2024

In this paper we present a new extension of the truncated positive normal (TPN) model, called power normal. This incorporates shape parameter that provides more flexibility to model. addition, was reparameterized based on p-th quantile distribution in order perform regression. The initial values were calculated from modification moment estimators, which allowed maximum likelihood estimators be obtained. A simulation study carried out suggests good behavior finite samples. Finally, two applications using health databases are presented.

Language: Английский

New regression model and machine learning for fitting proportional data with application DOI
Gabriela M. Rodrigues, Gauss M. Cordeiro, Edwin M. M. Ortega

et al.

Statistics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: Jan. 13, 2025

Language: Английский

Citations

0
A new class of unit models with a quantile regression approach applied to contamination data DOI
Karol I. Santoro, Yolanda M. Gómez,

Hugo Gómez

et al.

Chemometrics and Intelligent Laboratory Systems, Journal Year: 2025, Volume and Issue: unknown, P. 105322 - 105322

Published: Jan. 1, 2025

Language: Английский

Citations

0
Partially Functional Linear Regression Based on Gaussian Process Prior and Ensemble Learning DOI Creative Commons

Weice Sun,

Jiaqi Xu, Tao Liu

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 853 - 853

Published: March 4, 2025

A novel partially functional linear regression model with random effects is proposed to address the case of Euclidean covariates and covariates. Specifically, assumes that follow a Gaussian process prior establish linkage structure between scalar responses. For covariates, relationship responses assumed, are approximated using Karhunen–Loève expansion. To enhance robustness predictive model, cross-validation-based ensemble strategy employed optimize method. Results from both simulation studies real-world data analyses demonstrate superior performance competitiveness approach in terms prediction accuracy stability.

Language: Английский

Citations

0
Estimating and predicting the human development index with uncertain data: a common weight fuzzy benefit-of-the-doubt machine learning approach DOI
Hashem Omrani, Zijiang Yang, Raha Imanirad

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: unknown

Published: June 22, 2024

Language: Английский

Citations

1
Power Truncated Positive Normal Distribution: A Quantile Regression Approach Applied to Health Databases DOI Creative Commons
Karol I. Santoro,

Hugo Gómez,

Isaac E. Cortés

et al.

Axioms, Journal Year: 2024, Volume and Issue: 13(12), P. 811 - 811

Published: Nov. 21, 2024

In this paper we present a new extension of the truncated positive normal (TPN) model, called power normal. This incorporates shape parameter that provides more flexibility to model. addition, was reparameterized based on p-th quantile distribution in order perform regression. The initial values were calculated from modification moment estimators, which allowed maximum likelihood estimators be obtained. A simulation study carried out suggests good behavior finite samples. Finally, two applications using health databases are presented.

Language: Английский

Citations

0