{"title":"多项式模型二阶回归参数估计的l -线性方法","authors":"Mahdi Younis Mohammad, Ahmed Dheyab Ahmed","doi":"10.33095/jeas.v28i134.2428","DOIUrl":null,"url":null,"abstract":"In this paper, estimation of the parameters of the second-order polynomial regression model was obtained \n when the error is distributed it is distribution long-tailed symmetric because of the presence of outliers and using Maximum Likelihood, and L-Method. simulation is illustrated, and Mean Squared Error (MSE) is used as an evaluation criterion. This research includes six sample sizes (50,60,80,90,100,120) and includes the application of the methods of the medical data representing diabetes. \n \nPaper type Research paper.","PeriodicalId":53940,"journal":{"name":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","volume":"13 1","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating Parameters via L-Linear Method for Second-Order Regression of Polynomial Model\",\"authors\":\"Mahdi Younis Mohammad, Ahmed Dheyab Ahmed\",\"doi\":\"10.33095/jeas.v28i134.2428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, estimation of the parameters of the second-order polynomial regression model was obtained \\n when the error is distributed it is distribution long-tailed symmetric because of the presence of outliers and using Maximum Likelihood, and L-Method. simulation is illustrated, and Mean Squared Error (MSE) is used as an evaluation criterion. This research includes six sample sizes (50,60,80,90,100,120) and includes the application of the methods of the medical data representing diabetes. \\n \\nPaper type Research paper.\",\"PeriodicalId\":53940,\"journal\":{\"name\":\"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences\",\"volume\":\"13 1\",\"pages\":\"\"},\"PeriodicalIF\":0.3000,\"publicationDate\":\"2022-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33095/jeas.v28i134.2428\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eskisehir Osmangazi Universitesi IIBF Dergisi-Eskisehir Osmangazi University Journal of Economics and Administrative Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33095/jeas.v28i134.2428","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
Estimating Parameters via L-Linear Method for Second-Order Regression of Polynomial Model
In this paper, estimation of the parameters of the second-order polynomial regression model was obtained
when the error is distributed it is distribution long-tailed symmetric because of the presence of outliers and using Maximum Likelihood, and L-Method. simulation is illustrated, and Mean Squared Error (MSE) is used as an evaluation criterion. This research includes six sample sizes (50,60,80,90,100,120) and includes the application of the methods of the medical data representing diabetes.
Paper type Research paper.
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