Scopus
🔓 Açık Erişim YÖKSİS Eşleşti
Inverse Unit Teissier Distribution: Theory and Practical Examples
Axioms · Mayıs 2023
YÖKSİS Kayıtları
Inverse Unit Teissier Distribution: Theory and Practical Examples
Axioms · 2023 SCI-Expanded
DOÇENT KADİR KARAKAYA →
Makale Bilgileri
DergiAxioms
Yayın TarihiMayıs 2023
Cilt / Sayfa12
Scopus ID2-s2.0-85160235643
Erişim🔓 Açık Erişim
Özet
In this paper, we emphasize a new one-parameter distribution with support as (Formula presented.). It is constructed from the inverse method applied to an understudied one-parameter unit distribution, the unit Teissier distribution. Some properties are investigated, such as the mode, quantiles, stochastic dominance, heavy-tailed nature, moments, etc. Among the strengths of the distribution are the following: (i) the closed-form expressions and flexibility of the main functions, and in particular, the probability density function is unimodal and the hazard rate function is increasing or unimodal; (ii) the manageability of the moments; and, more importantly, (iii) it provides a real alternative to the famous Pareto distribution, also with support as (Formula presented.). Indeed, the proposed distribution has different functionalities but also benefits from the heavy-right-tailed nature, which is demanded in many applied fields (finance, the actuarial field, quality control, medicine, etc.). Furthermore, it can be used quite efficiently in a statistical setting. To support this claim, the maximum likelihood, Anderson–Darling, right-tailed Anderson–Darling, left-tailed Anderson–Darling, Cramér–Von Mises, least squares, weighted least-squares, maximum product of spacing, minimum spacing absolute distance, and minimum spacing absolute-log distance estimation methods are examined to estimate the unknown unique parameter. A Monte Carlo simulation is used to compare the performance of the obtained estimates. Additionally, the Bayesian estimation method using an informative gamma prior distribution under the squared error loss function is discussed. Data on the COVID mortality rate and the timing of pain relief after receiving an analgesic are considered to illustrate the applicability of the proposed distribution. Favorable results are highlighted, supporting the importance of the findings.
Yazarlar (6)
1
Najwan Alsadat
ORCID: 0000-0001-8884-8281
2
Mohammed Elgarhy
ORCID: 0000-0002-1333-3862
3
Kadir Karakaya
4
Ahmed M. Gemeay
5
Christophe Chesneau
6
M. M. Abd El-Raouf
ORCID: 0000-0003-3608-8449
Anahtar Kelimeler
data fitting
estimation
inverse distribution
simulation
Teissier distribution
Kurumlar
Arab Academy for Science, Technology and Maritime Transport
Alexandria Egypt
College of Business Administration
Riyadh Saudi Arabia
Faculty of Science
Tanta Egypt
Faculty of Sciences
Beni Suef Egypt
Selçuk Üniversitesi
Selçuklu Turkey
Université de Caen Normandie
Caen France
Metrikler
5
Atıf
6
Yazar
5
Anahtar Kelime