Asian Journal of Probability and Statistics 2022-05-23T06:50:14+00:00 Asian Journal of Probability and Statistics 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> Modeling the Differences between the Genders in Olympic Weightlifting Performance 2022-05-12T04:57:18+00:00 Jebessa B. Mijena Elyse Renshaw <p>This article studies Weightlifting results from the 2000-2016 Olympic Games for both males and females to determine the differences between gender performance. The data showed that there are considerable differences in the competitive level between male and female lifters. This article compares the results of winners in a weight class with a given lifter in the weight class from year to year. This article shows that males in every competition studied had a lower mean percent difference from first than the same comparison for women. This article also compares the winner from each weight class to the weight class above them and observes the place that they would have received. Overall we see that for males, a winner in a weight class would be around 6th place in the weight class above them, while for females, a winner in a weight class would be around 4th in a weight class above them. We observe that as place increases, the difference between male and female results as well as the standard deviation between the results increases. We show that females are less competitive than males as the place that the lifter attained increases. There appears to be no association between weight class and mean percentage difference of the fifth place from first place for females. For males, there appears to be a decrease in the average percentage difference of the fifth place from first place as the weight class increases, meaning that the higher weight classes for males are more competitive than the lower weight classes.</p> 2022-05-09T00:00:00+00:00 ##submission.copyrightStatement## Rail Transit Stations Classification Based on Spectral Clustering 2022-05-13T05:00:43+00:00 Qi Shi Shaowei Sun Jingjing Jie <p>To identify the function and positioning of urban rail stations, and provide further guidance for design and construction, a classification method based on spectral clustering algorithm is established. Firstly, based on the principles of comprehensiveness and robustness, 5 initial indicators were selected, including total entry count, total exit count, entrances count, bus connecting lines count, and metro connecting lines count. Secondly, we normalize the original data by Z-score method and extract two main clustering factors through principal component analysis. Finally, we propose a station classification model based on spectral clustering algorithm. The effectiveness of the proposed method is verified in Hangzhou Metro System. The K-means cluster algorithm and spectral cluster methods are employed. The results show that the proposed model can successfully identify the types of urban rail transit stations, clarify the function and orientation of each station.</p> 2022-05-10T00:00:00+00:00 ##submission.copyrightStatement## Volatility of Exchange Rate in Nigeria: An Investigation of Risk on Investment 2022-05-23T06:50:14+00:00 Udokang Anietie Edem Sanusi Olatoye Akeem M. Okeniyi Okeyemi Ojo O. David Ajiboye Ifeoluwa Mayowa <p>The contribution of investment in currency trading in economic growth of a nation cannot be over emphasized. Hence, the examination of the risk involved in such trading because of volatility in foreign exchange rate. Time series data and model were used in this study. The monthly exchange rate of four major foreign currencies in Nigeria namely the US Dollars (USD), the Great Britain Pounds (GBP), the EURO and CFA Francs against Nigerian Naira (NGN) from January, 2004 to December, 2019 were extracted from website of Central Bank of Nigeria (CBN) with an open access to the public. Due to the volatile nature of the exchange rate, the Generalized Autoregressive Conditional Hetroscedastic (GARCH) model was a suitable model used at order 1 for parsimony to determine volatility used in computing Value at Risk (VaR). It was discovered that the maximum loss (risk), measured by VaR, that can occur at 95% confidence interval for twelve months forecast of&nbsp; trading with GBP was the highest, among the four currencies, with percentage loss of between 15.5% to 16.2%. While the CFA has the lowest risk with VaR between 0.02% to 0.03%. Based on the findings, the risk of investing in foreign exchange is the highest when trading in GBP with attendant high returns due to large fluctuations up and down of the exchange rate. This study will help investors to study the pattern of risk and returns and decide on the foreign currency to trade on. The government should put policies in place to encourage existing investors and new investors that want to invest on foreign exchange to create employment, since the risk involved can be determined as it is done in this study.</p> 2022-05-19T00:00:00+00:00 ##submission.copyrightStatement##