{"title":"利用扰动理论进行最优多元函数回归分析","authors":"Mehmet Pakdemirli","doi":"10.1080/16583655.2024.2366522","DOIUrl":null,"url":null,"abstract":"A regression analysis is presented based on several functions. A normalized data are used which enables the usage of magnitude of orders in perturbation theory. The criteria to eliminate unnecessar...","PeriodicalId":17100,"journal":{"name":"Journal of Taibah University for Science","volume":"2015 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal multiple functional regression analysis using perturbation theory\",\"authors\":\"Mehmet Pakdemirli\",\"doi\":\"10.1080/16583655.2024.2366522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A regression analysis is presented based on several functions. A normalized data are used which enables the usage of magnitude of orders in perturbation theory. The criteria to eliminate unnecessar...\",\"PeriodicalId\":17100,\"journal\":{\"name\":\"Journal of Taibah University for Science\",\"volume\":\"2015 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Taibah University for Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1080/16583655.2024.2366522\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Taibah University for Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1080/16583655.2024.2366522","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Optimal multiple functional regression analysis using perturbation theory
A regression analysis is presented based on several functions. A normalized data are used which enables the usage of magnitude of orders in perturbation theory. The criteria to eliminate unnecessar...
期刊介绍:
Journal of Taibah University for Science (JTUSCI) is an international scientific journal for the basic sciences. This journal is produced and published by Taibah University, Madinah, Kingdom of Saudi Arabia. The scope of the journal is to publish peer reviewed research papers, short communications, reviews and comments as well as the scientific conference proceedings in a special issue. The emphasis is on biology, geology, chemistry, environmental control, mathematics and statistics, nanotechnology, physics, and related fields of study. The JTUSCI now quarterly publishes four issues (Jan, Apr, Jul and Oct) per year. Submission to the Journal is based on the understanding that the article has not been previously published in any other form and is not considered for publication elsewhere.