{"title":"一类极值分布参数估计的仿真方法","authors":"Hakeeem Hussain Hamad Salih","doi":"10.22401/jnus.20.4.15","DOIUrl":null,"url":null,"abstract":"In this paper, the two parameters of type I extreme value distribution are estimated for the maximum values by using moment’s method and the weighted least square method. The simulation approach is used to compare the obtained results of the applied methods in order to get the best method to estimate the parameters, in which the simulation process starts by generating random samples follows the extreme value distribution. This algorithm is based on three samples of the real parameters and with different sample sizes. The results are tabulated for comparison purpose in connection with the mean square error.","PeriodicalId":14922,"journal":{"name":"Journal of Al-Nahrain University-Science","volume":"55 1","pages":"94-101"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simulation Approach for Estimating the Parameters of the First Type Extreme Value Distribution\",\"authors\":\"Hakeeem Hussain Hamad Salih\",\"doi\":\"10.22401/jnus.20.4.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the two parameters of type I extreme value distribution are estimated for the maximum values by using moment’s method and the weighted least square method. The simulation approach is used to compare the obtained results of the applied methods in order to get the best method to estimate the parameters, in which the simulation process starts by generating random samples follows the extreme value distribution. This algorithm is based on three samples of the real parameters and with different sample sizes. The results are tabulated for comparison purpose in connection with the mean square error.\",\"PeriodicalId\":14922,\"journal\":{\"name\":\"Journal of Al-Nahrain University-Science\",\"volume\":\"55 1\",\"pages\":\"94-101\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Al-Nahrain University-Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22401/jnus.20.4.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Al-Nahrain University-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22401/jnus.20.4.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Approach for Estimating the Parameters of the First Type Extreme Value Distribution
In this paper, the two parameters of type I extreme value distribution are estimated for the maximum values by using moment’s method and the weighted least square method. The simulation approach is used to compare the obtained results of the applied methods in order to get the best method to estimate the parameters, in which the simulation process starts by generating random samples follows the extreme value distribution. This algorithm is based on three samples of the real parameters and with different sample sizes. The results are tabulated for comparison purpose in connection with the mean square error.