dc.contributor.author |
Unnipillai, Nayana |
|
dc.contributor.author |
Anakha, K K |
|
dc.contributor.author |
Aslam, Muhammad |
|
dc.contributor.author |
Chacko, V. M. |
|
dc.contributor.author |
Albassam, Mohammed |
|
dc.date.accessioned |
2025-01-29T05:11:02Z |
|
dc.date.available |
2025-01-29T05:11:02Z |
|
dc.date.issued |
2022-02-14 |
|
dc.identifier.citation |
ResearchGate |
en_US |
dc.identifier.uri |
10.1007/s40747-022-00698-6 |
|
dc.identifier.uri |
http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/422 |
|
dc.description.abstract |
There is a need to comprehend real-world problems that are marked by ambiguity and inflexibility. By taking into account
the indeterminacies and inconsistencies, DUS transformation has been taken to Neutrosophic Weibull distribution and DUSNeutrosophic Weibull distribution is proposed. The probability density function is unimodal and decreasing in nature. Several
statistical properties have been studied. The parameters of the proposed distribution are estimated using the maximum
likelihood method. The proposed distribution has been validated on a real data set. The estimates are found to be more
accurate than the classical distributions |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
ResearchGate |
en_US |
dc.subject |
DUS transformation |
en_US |
dc.subject |
Neutrosophic Weibull distribution |
en_US |
dc.subject |
Reliability |
en_US |
dc.title |
A New Neutrosophic Model using Dus-Weibull Transformation with Application |
en_US |
dc.type |
Article |
en_US |