DUS-Half Logistic Distribution with Application to Water Flow Data
DOI:
https://doi.org/10.19139/soic-2310-5070-4073Keywords:
DUS Half Logistic, estimation methods, simulation, information criteriaAbstract
This paper introduces the DUS-Half Logistic (DUS-HL) distribution, a flexible extension of the classical Half Logistic model for asymmetric and heavy-tailed data. The study derives key statistical properties and compares four estimation methods (MLE, LSE, CVM, WLS) through simulation. Results show that the MLE performs best in terms of MSE. The distribution is validated using two real datasets: fetal Crown-Rump Length measurements from Tanta University Hospital and April water flow records from Sefaatli Creek, Turkey. Compared to four competing models, DUS-HL consistently achieves the lowest goodness-of-fit statistics and information criteria, making it a superior choice for modeling complex, skewed empirical data.Downloads
Published
2026-10-31
How to Cite
M.M.E. Abd El-Monsef, ELBanna, H., & El Ghamry, E. (2026). DUS-Half Logistic Distribution with Application to Water Flow Data. Statistics, Optimization & Information Computing. https://doi.org/10.19139/soic-2310-5070-4073
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Copyright (c) 2026 M.M.E. Abd El-Monsef, Heba ELBanna, Eman El Ghamry
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