A novel quantile regression for fractiles based on unit logistic exponential distribution
Continuous developments in unit interval distributions have shown effectiveness in modeling proportional data. However, challenges persist in diverse dispersion characteristics in real-world scenarios. This study introduces the unit logistic-exponential (ULE) distribution, a flexible probability mod...
Saved in:
Main Authors: | Hanan Haj Ahmad, Kariema A. Elnagar |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-12-01
|
Series: | AIMS Mathematics |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241644 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Inferential analysis of the stress-strength reliability for a new extended family of distributions
by: Mohammed S. Kotb, et al.
Published: (2025-12-01) -
Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model
by: Mingquan Wang, et al.
Published: (2025-01-01) -
Joint Research on Clock Synchronization and Localization in Wireless Sensor Network with Stochastic Exponentially Distributed Noise
by: Xiang Zhao, et al.
Published: (2014-10-01) -
The Determinants of Fish Catch: A Quantile Regression Approach
by: Mary Pleños
Published: (2021-06-01) -
On the Zhang-power series distributions with application to lifetime modeling
by: Hamideh Memarbashi, et al.
Published: (2025-01-01)