{"title":"A new statistical framework with properties and practical implementation using the time invested in sports training","authors":"Yuan Shao , Jue Wang","doi":"10.1016/j.aej.2025.03.009","DOIUrl":null,"url":null,"abstract":"<div><div>The applications of probability distributions have proven to be impactful across all scientific fields, with notable relevance in sports sciences. In light of this beneficial aspect of probability distributions, this paper puts forth a new probability distribution called the modified trigonometric exponentiated exponential (MTE-exponential) distribution. In this work, we derive various mathematical properties of the MTE-exponential distribution, focusing particularly on those related to quartile characteristics. A widely recognized estimation method is applied to derive the mathematical expressions for the estimators of the MTE-exponential distribution. Furthermore, a simulation analysis is performed to assess the effectiveness of the estimators for different parameter combinations of the MTE-exponential distribution. Finally, an application of the MTE-exponential distribution, which is informed by sports sciences, is presented. The intention behind this presentation is to illustrate the practical applicability of the proposed model. Thus, a comparison is made, utilizing data from sports sciences, between the MTE-exponential distribution and nine other rival distributions including some traditional and modified probability distributions. A thorough examination of four fundamental assessment criteria indicates that the MTE-exponential distribution reliably outperform all conventional and modified probability distributions.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"122 ","pages":"Pages 508-519"},"PeriodicalIF":6.2000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016825002996","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The applications of probability distributions have proven to be impactful across all scientific fields, with notable relevance in sports sciences. In light of this beneficial aspect of probability distributions, this paper puts forth a new probability distribution called the modified trigonometric exponentiated exponential (MTE-exponential) distribution. In this work, we derive various mathematical properties of the MTE-exponential distribution, focusing particularly on those related to quartile characteristics. A widely recognized estimation method is applied to derive the mathematical expressions for the estimators of the MTE-exponential distribution. Furthermore, a simulation analysis is performed to assess the effectiveness of the estimators for different parameter combinations of the MTE-exponential distribution. Finally, an application of the MTE-exponential distribution, which is informed by sports sciences, is presented. The intention behind this presentation is to illustrate the practical applicability of the proposed model. Thus, a comparison is made, utilizing data from sports sciences, between the MTE-exponential distribution and nine other rival distributions including some traditional and modified probability distributions. A thorough examination of four fundamental assessment criteria indicates that the MTE-exponential distribution reliably outperform all conventional and modified probability distributions.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering