Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q2
An alternative bounded distribution: regression model and applications
Journal of Supercomputing · Eylül 2024
YÖKSİS Kayıtları
An alternative bounded distribution: regression model and applications
The Journal of Supercomputing · 2024 SCI-Expanded
Doç. Dr. KADİR KARAKAYA →
YÖKSİS Kayıtları — ISSN Eşleşmesi
A novel feature selection using binary hybrid improved whale optimization algorithm
2023 ISSN: 0920-8542 SCI Q2
Dr. Öğr. Üyesi ONUR İNAN →
A novel feature selection using binary hybrid improved whale optimization algorithm
2023 ISSN: 0920-8542 SCI-Expanded Q2
Doç. Dr. MUSTAFA SERTER UZER →
An alternative bounded distribution: regression model and applications
2024 ISSN: 0920-8542 SCI-Expanded Q2
Doç. Dr. KADİR KARAKAYA →
Makale Bilgileri
ISSN09208542
Yayın TarihiEylül 2024
Cilt / Sayfa80 · 20861-20890
Scopus ID2-s2.0-85195190375
Erişim🔓 Açık Erişim
Özet
In this paper, a new bounded distribution is introduced and some distributional properties of the new distribution are discussed. Moreover, the new distribution is implemented in the field of engineering to the Cpc process capability index. Three unknown parameters of the distribution are estimated with several estimators, and the performances of the estimators are evaluated with a Monte Carlo simulation. A new regression model is introduced based on this new distribution as an alternative to beta and Kumaraswamy models. Furthermore, it is considered one of the first studies where regression model parameters are estimated using least squares, weighted least squares, Cramér–von Mises, and maximum product spacing estimators other than the maximum likelihood. The efficiency of the estimators for the parameters of the regression model is further assessed through a simulation. Real datasets are analyzed to demonstrate the applicability of the new distribution and regression model.
Yazarlar (2)
1
Şule Sağlam
2
Kadir Karakaya
Anahtar Kelimeler
Beta regression analysis
Bounded distribution
Electrical insulating fluid data
Maximum likelihood estimation
Process capability index
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Journal of Supercomputing
Q2
SJR Skoru0,729
H-Index99
YayıncıSpringer Netherlands
ÜlkeNetherlands
Hardware and Architecture (Q2)
Information Systems (Q2)
Software (Q2)
Theoretical Computer Science (Q2)
Metrikler
2
Atıf
2
Yazar
5
Anahtar Kelime