2020
DOI: 10.15406/bbij.2020.09.00313
|View full text |Cite
|
Sign up to set email alerts
|

A review on recent generalizations of exponential distribution

Abstract: Kondo 1 as Pearson's type X distribution when the sampling of standard deviation was discussed.These distributions have been widely used to analyze lifetime data, on account of its analytical tractability, also used in physics, queueing theory, and hydrology, often used to model the reliability of electronic systems, which do not typically experience wear-out type failures. Exponential variables can also be used to model situations where certain events occur with a constant probability per unit length, such as… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 38 publications
0
4
0
Order By: Relevance
“…provided an expository review of the transmuted probability distributions. Tomy et al 2020) provided an extensive review of the recent generalizations of the exponential distribution. Dey, et al (2021) provided an extensive review of the transmuted distributions.…”
Section: Extensions Of Log-logistic Distributionmentioning
confidence: 99%
“…provided an expository review of the transmuted probability distributions. Tomy et al 2020) provided an extensive review of the recent generalizations of the exponential distribution. Dey, et al (2021) provided an extensive review of the transmuted distributions.…”
Section: Extensions Of Log-logistic Distributionmentioning
confidence: 99%
“…Nassar et al [23] reanalyzed the RMM data set after it was first provided by Murthy et al [24]. From the full RMM data, to check the effectiveness of the CJ model, we shall compare its fit to other five models in the literature, namely: XLindley (XL(μ)) by Chouia et al [25], Xgamma (XG(μ)) by Sen et al [26], Muth (M(μ)) discussed by Irshad et al [27], Lindley (L(μ)) by Ghitany et al [28], and exponential (E(μ)) reviewed by Tomy et al [29]. To establish this objective, behind the Kolmogorov-Smirnov (KS) distance (with its p-value), we obtain the negative log-likelihood (NL), Akaike (A), consistent Akaike (CA), Bayesian (B), and Hannan-Quinn (HQ); see Table 12.…”
Section: Mechanical Equipment Datamentioning
confidence: 99%
“…For instance, Tahir and Cordeiro (2016); Ahmad, Hamedani, and Butt (2019) provided a review regarding various techniques for generating new models and the list of models developed through several techniques. Tomy, Jose, and Veena (2020) gave a summary regarding exponential distribution-related studies and applications. Several researchers provided an in-depth examination of Weibull distributions, Weibull-related models, and applications.…”
Section: Introductionmentioning
confidence: 99%