Unit-Power Half-Normal Distribution Including Quantile Regression with Applications to Medical Data

In this paper, we present the unit-power half-normal distribution, derived from the power half-normal distribution, for data analysis in the open unit interval. The statistical properties of the unit-power half-normal model are described in detail. Simulation studies are carried out to evaluate the performance of the parameter estimators. Additionally, we implement the quantile regression for this model, which is applied to two real healthcare data sets. Our findings suggest that the unit power half-normal distribution provides a robust and flexible alternative for existing models for proportion data.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2024-09-02
DOI
https://doi.org/10.3390/axioms13090599
Citations
3
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
2.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unit-Power Half-Normal Distribution Including Quantile Regression with Applications to Medical Data

Karol I. Santoro, Yolanda M. Gómez, Inmaculada Barranco‐Chamorro, Darlin Soto
3 citations
Axioms
Statistical Distribution Estimation and Applications
2.13
article

Unit-Power Half-Normal Distribution Including Quantile Regression with Applications to Medical Data

Karol I. Santoro, Yolanda M. Gómez, Inmaculada Barranco‐Chamorro, Darlin Soto
article en
3 citations

Abstract

In this paper, we present the unit-power half-normal distribution, derived from the power half-normal distribution, for data analysis in the open unit interval. The statistical properties of the unit-power half-normal model are described in detail. Simulation studies are carried out to evaluate the performance of the parameter estimators. Additionally, we implement the quantile regression for this model, which is applied to two real healthcare data sets. Our findings suggest that the unit power half-normal distribution provides a robust and flexible alternative for existing models for proportion data.

AxiomsVol. 13(9)
Universidad de Antofagasta (CL), University of Bío-Bío (CL), Universidad de Sevilla (ES)
Openalex Percentile: Top 12%
Statistical Distribution Estimation and Applications
2.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.