Asian Journal of Probability and Statistics 2023-01-18T11:34:57+00:00 Asian Journal of Probability and Statistics Open Journal Systems <p style="text-align: justify;"><strong>Asian Journal of Probability and Statistics</strong> <strong>(ISSN: 2582-0230)&nbsp;</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 based on 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> <p style="text-align: justify;">This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the BOAI definition of open access.</p> Transmuted Ailamujia Distribution with Applications to Lifetime Observations 2023-01-13T04:06:20+00:00 A. A. Adetunji <p><strong>Background of the Study: </strong>Quest to extend existing probability distributions to allow for more flexibility in data modelling is never ending.</p> <p><strong>Aims: </strong>This study extends the Ailamujia distribution using quadratic transmutation map to propose a new 2-paramter lifetime distribution.</p> <p><strong>Methodology:</strong> Shapes of the density function and the hazard rate function of the new propositions are obtained. Some mathematical properties of the new distribution are also obtained.</p> <p><strong>Results:</strong> Application of the distribution to four lifetime datasets reveals that the distribution competes favourably with other related distributions.</p> <p><strong>Conclusion:</strong> The new distribution competes favourably with the existing distributions in data modelling.</p> 2023-01-02T00:00:00+00:00 ##submission.copyrightStatement## Functional Data Analysis on Global COVID-19 Data 2023-01-18T11:34:34+00:00 J. W. E. W. De Silva S. P. Abeysundara <p>No one can deny that COVID-19 has spread around the world and is still emerging as a new variation in some areas. Since the time of its breakout, three coronavirus waves have emerged. Daily cases of COVID-19 from 79 countries around the world were selected for the study. The main objective of this research was to model and analyze the behavior of the disease's first wave in the world and on the Asian continent using functional data analysis methods. Functional models were fitted to the data using B-spline basis functions at different orders, and the best-fit curves were further analyzed with respect to their functional behavior and the rate of change. These curves were visualized during the preliminary analysis and later clustered within each continent using functional cluster analysis. The results indicated that all continents, apart from Asia, had two clusters based on their functional behavior, whereas the world data had three clusters. All the continents except the Asian continent had different functional forms and numbers of peaks, but they all had the same number of clusters. The world's 18 countries were divided into two categories, with the remaining 61 countries clustered into a single group. The identified cluster indices were further modeled using multinomial logistic regression models with six popular health index variables. In the world, people over the age of 70 made a significant contribution to selecting cluster 2 over cluster 1 and cluster 3 over cluster 2. On the Asian continent, the female smoker variable preferred cluster 2 over cluster 1, while cluster 3 over cluster 1 could be determined by the median age variable. The findings of the overall study would be helpful for the researchers to understand the spread of the disease and the impact of the health indices on its functional behavior.</p> 2023-01-09T00:00:00+00:00 ##submission.copyrightStatement## Assessment of the Impact of Some Socio - Economic Variables on Worldwide Average Life Expectancy: A Logit Approach 2023-01-18T11:34:57+00:00 E. F. Udoumoh T. Subeno U. I. William <p>Life Expectancy is considered as a key indicator for measuring the total wellbeing of a country. In this paper, the impact of some socio-economic variables on life expectancy is investigated. These variables namely: access to electricity, GDP per capita, unemployment total labour force, unemployment of youth total, health expenditure per capita, and adjusted national income were common for all countries. The Binary Logistic Regression model was considered and the analysis was done using the Forward Stepwise (Likelihood Ratio) procedure. Using the data of life expectancy of 70 countries in year 2020, results revealed that access to electricity and health expenditure per capita positively impacted on life expectancy. Countries that had Access to Electricity were 1.113 times (Prob. = 0.53) more likely to attend the worldwide life expectancy. Countries with increased Health Expenditure per Capita were 1.004 times (Prob. = 0.50) more likely to experience increase in life expectancy. Health expenditure per capita was significant at ; which implies that appropriate health financing has significant positive impact on life expectancy irrespective of country.</p> 2023-01-18T00:00:00+00:00 ##submission.copyrightStatement##