Bibliographic Details
| Title: |
A NEW LENGTH BIASED EXPONENTIAL-EXPONENTIAL DISTRIBUTION AND ITS APPLICATIONS TO CANCER DATA. |
| Authors: |
J., Latha1 1lathalekshmi.j@gmail.com, Vijayakumar, M.2 mvkumar1975@gmail.com, D. S., Shibu3 statshibu@gmail.com |
| Source: |
Reliability: Theory & Applications. Jun2025, Vol. 20 Issue 2, p834-843. 10p. |
| Subjects: |
Maximum likelihood statistics, Characteristic functions, Moments method (Statistics), Hazard function (Statistics), Generating functions |
| Abstract: |
The application of weighted distribution is used in many fields of real life such as medicine, reliability, ecology and so on, so we try to contribute in this field through this research. In this paper we propose a new length biased form of the Exponential-Exponential distribution called Length Biased Exponential-Exponential distribution (LBEED) and derive its statistical properties. The statistical properties including the moments, moment generating function, characteristic function, reliability functions and entropy measures are discussed. The method of maximum likelihood and method of moment was employed to estimate the parameter. The utility and adaptability of the proposed model are demonstrated by real-world data sets. [ABSTRACT FROM AUTHOR] |
|
Copyright of Reliability: Theory & Applications is the property of International Group on Reliability and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |
