Pranav Quasi Gamma Distribution: Properties and Applications
We have developed Pranav Quasi Gamma Distribution (PQGD) as a mixture of Pranav distribution (θ) and Quasi Gamma distribution (2,θ). We obtained various necessary statistical characteristics of PQGD. The flexibility of proposed model is clear from graph of hazard function. The reliability measures o...
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doaj-56dee51e0a2d42f48027e3359108d9872021-02-01T15:04:01ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)2214-17662020-12-0119410.2991/jsta.d.201202.001Pranav Quasi Gamma Distribution: Properties and ApplicationsSameer Ahmad WaniAnwar HassanShaista ShafiSumeera ShafiWe have developed Pranav Quasi Gamma Distribution (PQGD) as a mixture of Pranav distribution (θ) and Quasi Gamma distribution (2,θ). We obtained various necessary statistical characteristics of PQGD. The flexibility of proposed model is clear from graph of hazard function. The reliability measures of proposed model are also obtained. Sample estimates of unknown parameters are obtained by making use of maximum likelihood estimation method. We have also carried out the simulation study for comparing our model with its related models. We then tested the significance of mixing parameter. Finally, applications to real-life data sets is presented to examine the significance of newly introduced model.https://www.atlantis-press.com/article/125947862/viewQuasi gamma distributionPranav distributionMixture modelsSimulation studyMixing parameterStructural properties and maximum likelihood estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sameer Ahmad Wani Anwar Hassan Shaista Shafi Sumeera Shafi |
spellingShingle |
Sameer Ahmad Wani Anwar Hassan Shaista Shafi Sumeera Shafi Pranav Quasi Gamma Distribution: Properties and Applications Journal of Statistical Theory and Applications (JSTA) Quasi gamma distribution Pranav distribution Mixture models Simulation study Mixing parameter Structural properties and maximum likelihood estimation |
author_facet |
Sameer Ahmad Wani Anwar Hassan Shaista Shafi Sumeera Shafi |
author_sort |
Sameer Ahmad Wani |
title |
Pranav Quasi Gamma Distribution: Properties and Applications |
title_short |
Pranav Quasi Gamma Distribution: Properties and Applications |
title_full |
Pranav Quasi Gamma Distribution: Properties and Applications |
title_fullStr |
Pranav Quasi Gamma Distribution: Properties and Applications |
title_full_unstemmed |
Pranav Quasi Gamma Distribution: Properties and Applications |
title_sort |
pranav quasi gamma distribution: properties and applications |
publisher |
Atlantis Press |
series |
Journal of Statistical Theory and Applications (JSTA) |
issn |
2214-1766 |
publishDate |
2020-12-01 |
description |
We have developed Pranav Quasi Gamma Distribution (PQGD) as a mixture of Pranav distribution (θ) and Quasi Gamma distribution (2,θ). We obtained various necessary statistical characteristics of PQGD. The flexibility of proposed model is clear from graph of hazard function. The reliability measures of proposed model are also obtained. Sample estimates of unknown parameters are obtained by making use of maximum likelihood estimation method. We have also carried out the simulation study for comparing our model with its related models. We then tested the significance of mixing parameter. Finally, applications to real-life data sets is presented to examine the significance of newly introduced model. |
topic |
Quasi gamma distribution Pranav distribution Mixture models Simulation study Mixing parameter Structural properties and maximum likelihood estimation |
url |
https://www.atlantis-press.com/article/125947862/view |
work_keys_str_mv |
AT sameerahmadwani pranavquasigammadistributionpropertiesandapplications AT anwarhassan pranavquasigammadistributionpropertiesandapplications AT shaistashafi pranavquasigammadistributionpropertiesandapplications AT sumeerashafi pranavquasigammadistributionpropertiesandapplications |
_version_ |
1724315319988649984 |