<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>We obtained a new generalization of Lindley-Quasi Xgamma distribution by adding weight parameter to it through weighting technique and have shown the flexibility of proposed model. Expression for reliability measures, order statistics, Bonferroni curves &amp; indices, Renyi entropy along with some other important properties are derived. Maximum likelihood estimation method is put to use for estimation of unknown parameters of proposed model. Simulation study for checking the performance of maximum likelihood estimates and for model comparison is carried out. Proposed model and its related models are fitted to real life data sets and goodness of fit measure Kolmogorov statistic &amp; p-value, loss of information criteria’s AIC, BIC, AICC &amp; HQIC are computed through R software to check the applicability of proposed model in real life. The significance of weight parameter is also tested by using likelihood ratio test for both randomly generated data as well as real life data.</p>
</abstract>

We obtained a new generalization of Lindley-Quasi Xgamma distribution by adding weight parameter to it through weighting technique and have shown the flexibility of proposed model. Expression for reliability measures, order statistics, Bonferroni curves & indices, Renyi entropy along with some other important properties are derived. Maximum likelihood estimation method is put to use for estimation of unknown parameters of proposed model. Simulation study for checking the performance of maximum likelihood estimates and for model comparison is carried out. Proposed model and its related models are fitted to real life data sets and goodness of fit measure Kolmogorov statistic & p-value, loss of information criteria’s AIC, BIC, AICC & HQIC are computed through R software to check the applicability of proposed model in real life. The significance of weight parameter is also tested by using likelihood ratio test for both randomly generated data as well as real life data.

Generalized Lindley-Quasi Xgamma distribution

Journal of Applied Mathematics, Statistics and Informatics

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Generalized Lindley-Quasi Xgamma distribution"}

We obtained a new generalization of Lindley-Quasi Xgamma distribution by adding weight parameter to it through weighting technique and have shown the...

Generalized Lindley-Quasi Xgamma distribution

Online veröffentlicht: 17. Juni 2021

Seitenbereich: 5 - 30

DOI: https://doi.org/10.2478/jamsi-2021-0001

Schlüsselwörter
Weighting technique, Structural properties, Simulation study, Weight parameter, Bonferroni curves & indices, Renyi entropy, Maximum likelihood estimation, Application

© 2021 S. A. Wani et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Generalized Lindley-Quasi Xgamma distribution

Online veröffentlicht: 17. Juni 2021

Seitenbereich: 5 - 30

DOI: https://doi.org/10.2478/jamsi-2021-0001

SchlüsselwörterWeighting technique, Structural properties, Simulation study, Weight parameter, Bonferroni curves & indices, Renyi entropy, Maximum likelihood estimation, Application

© 2021 S. A. Wani et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Weighting technique, Structural properties, Simulation study, Weight parameter, Bonferroni curves & indices, Renyi entropy, Maximum likelihood estimation, Application