Type Ii Half Logisitic Exponentiated Lomax Distribution

Type Ii Half Logisitic Exponentiated Lomax Distribution

bukoye_abdulwasiu

Contact

Bukoye Abdulwasiu

Contact

Bada Olatunbosn

Contact

Muritala Abdulkabir

Contact

Ajadi

Contact

A.Akeem

Contact

Type Ii Half Logisitic Exponentiated Lomax Distribution

Article Fingerprint

ReserarchID

4SV4N

Type Ii Half Logisitic Exponentiated Lomax Distribution Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

In this paper, we introduces a new distribution called Type II half logistic exponentiated lomax (TIIHLEE) distribution established from Type II half logistic G family of distribution We investigate some of its mathematical and statistical properties such as the explicit form of the ordinary moments, moment generating function, conditional moments, mean deviations, residual life and Renyi entropy. The maximum likelihood method is used to estimate the model parameters. Simulation studies were conducted to assess the finite sample behavior of the maximum likelihood estimators. Finally, we illustrate the importance and applicability of the model by the study of two real data sets.

References

19 Cites in Article

Reference Format

Al-Zahrani B,Al-Sobhi M (2013). On parameters estimation of Lomax distribution under general progressive censoring.
B Al-Zahrani,H Sagor (2014). The Poisson-Lomax distribution.
S Ashour,M Eltehiwy (2013). Transmuted Lomax Distribution.
N Balakrishnan (1985). Order statistics from the half logistic distribution.
Gauss Cordeiro,Artur Lemonte (2013). On the Marshall–Olkin extended Weibull distribution.
G Cordeiro,E Ortega,B Popovi´c (2015). The gamma-Lomax distribution.
A H.El-Bassiouny,N F. Abdo,H S. Shahen (2015). Exponential Lomax Distribution.
A Hassan,M Elgarhy,M Shakil (2017). Type II Half Logistic -generated family of distributions with applications.
A Hassan,A Al-Ghamdi (2009). OPTIMUM STEP-STRESS ACCELERATED LIFE TEST MODELS.
J Kapur,H Sexena (1960). Mathematical Statistics, First Edition S.
N Kilany (2016). Weighted Lomax distribution.
A Law,W Kelton (1991). Simulation Modeling and Analysis.
Carl Lee,Felix Famoye,Ayman Alzaatreh (2013). Methods for generating families of univariate continuous distributions in the recent decades.
K Lomax (1954). Business Failures: Another Example of the Analysis of Failure Data.
B Oluyede,S Huang,M Pararai (2014). A new class of generalized dagum distribution with applications to income and lifetime data.
El-Houssainy A. Rady,W Hassanein,T Elhaddad (2016). The power Lomax distribution with an application to bladder cancer data.
A Renyi (1961). On measures of entropy and information.
H Salem (2014). The exponentiated lomax distribution: different estimation methods.
M Tahir,Gauss Cordeiro,M Mansoor,M Zubair (2015). WEIBULL-LOMAX DISTRIBUTION: PROPERTIES AND APPLICATIONS.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

bukoye_abdulwasiu. 2021. \u201cType Ii Half Logisitic Exponentiated Lomax Distribution\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 21 (GJSFR Volume 21 Issue F3).

More Citation Formats

Select Citation Style:

Download Citation

GJSFR Volume 21 Issue F3

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Not Found

Classification

GJSFR-F Classification MSC 2010: 11D61

Submission ReceivedMarch 6, 2021
Peer Review Double Blind
Handling Editor
Accepted March 31, 2021
Published April 11, 2021

Version of record

v1.2

Issue date

July 2, 2021

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Views: 2079

Total Downloads: 1001

2026 Trends

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]