https://journalajpas.com/index.php/AJPAS/issue/feed Asian Journal of Probability and Statistics 2021-04-14T04:18:02+00:00 Asian Journal of Probability and Statistics contact@journalajpas.com Open Journal Systems <p style="text-align: justify;"><strong>Asian Journal of Probability and Statistics (ISSN: 2582-0230)</strong> aims to publish high-quality papers (<a href="/index.php/AJPAS/general-guideline-for-authors">Click here for Types of paper</a>) in all areas of ‘Probability and Statistics’. By not excluding papers on the basis of novelty, this journal facilitates the research and wishes to publish papers as long as they are technically correct and scientifically motivated. The journal also encourages the submission of useful reports of negative results. This is a quality controlled, OPEN peer-reviewed, open access INTERNATIONAL journal.</p> https://journalajpas.com/index.php/AJPAS/article/view/30277 Generating New Flexible Lifetime Class of Distributions Based on Competing Risks and Frailty Models 2021-04-14T04:18:02+00:00 M. M. E. Abd El-Monsef mmezzat@science.tanta.edu.eg M. M. El-Awady <p>New classes of continuous distributions have been generated, in the last decad, based on a compounding procedure arises on a latent competing risks problem. This procedure assumes the homogeneity between the population individuals. In this paper, a new lifetime distribution is generated, assuming the heterogeneity at both population and individual levels, called Extended Gamma Gompertz (EGG) distribution. This distribution shows very desirable exibility of its hazard function. Some properties of the proposed distribution are given. Maximum likelihood estimation technique is used to estimate the parameters. A simulation study is performed to examine the performance of the proposed model. Finally, application to a real data set is given to exemplify the utility of the EGG distribution.</p> 2021-04-11T00:00:00+00:00 ##submission.copyrightStatement## https://journalajpas.com/index.php/AJPAS/article/view/30276 Class of Tests Based on Subsample Quantiles for Two-sample Scale Problem 2021-04-14T04:18:02+00:00 Shashank D. Shindhe Sharada V. Bhat bhat_sharada@yahoo.com Parameshwar V. Pandit <p>A class of distribution-free tests based on U-statistics with its kernel being function of subsample quantiles is proposed for a two-sample scale problem. The proposed class of tests is a general class of tests that includes numerous members which explore information from the tails of the distributions and tests resistant to outliers. This class of tests includes many existing classes of tests as its subclasses. The distribution of the proposed class of tests is derived and its relevance is discussed. One of its members, which is resistant to outliers in -sample is investigated in detail.</p> 2021-04-11T00:00:00+00:00 ##submission.copyrightStatement## https://journalajpas.com/index.php/AJPAS/article/view/30278 Generalized Exponential Power Distribution with Application to Complete and Censored Data 2021-04-14T04:18:02+00:00 M. M. E. Abd El-Monsef M. M. El-Awady <p>The exponential power distribution (EP) is a lifetime model that can exhibit increasing and bathtub hazard rate function. This paper proposed a generalization of EP distribution, named generalized exponential power (GEP) distribution. Some properties of GEP distribution will be investigated. Recurrence relations for single moments of generalized ordered statistics from GEP distribution are established and used for characterizing the GEP distribution. Estimation of the model parameters are derived using maximum likelihood method based on complete sample, type I, type II and random censored samples. A simulation study is performed in order to examine the accuracy of the maximum likelihood estimators of the model parameters. Three applications to real data, two with censored data, are provided in order to show the superiority of the proposed model to other models.</p> 2021-04-11T00:00:00+00:00 ##submission.copyrightStatement## https://journalajpas.com/index.php/AJPAS/article/view/30279 Two-Parameter Nwikpe (TPAN) Distribution with Application 2021-04-12T12:38:05+00:00 Barinaadaa John Nwikpe nwikpe4real@gmail.com Isaac Didi Essi <p>A new two-parameter continuous distribution called the Two-Parameter Nwikpe (TPAN) distribution is derived in this paper. The new distribution is a mixture of gamma and exponential distributions. A few statistical properties of the new probability distribution have been derived. The shape of its density for different values of the parameters has also been established.&nbsp; The first four crude moments, the second and third moments about the mean of the new distribution were derived using the method of moment generating function. Other statistical properties derived include; the distribution of order statistics, coefficient of variation and coefficient of skewness. The parameters of the new distribution were estimated using maximum likelihood method. The flexibility of the Two-Parameter Nwikpe (TPAN) distribution was shown by fitting the distribution to three real life data sets. The goodness of fit shows that the new distribution outperforms the one parameter exponential, Shanker and Amarendra distributions for the data sets used for this study.</p> 2021-04-12T00:00:00+00:00 ##submission.copyrightStatement##