{"title":"关于α稳定环境下最大似然估计的几个问题","authors":"Z. Gajo","doi":"10.23919/URSI48707.2020.9254052","DOIUrl":null,"url":null,"abstract":"This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed $\\alpha$-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of $\\alpha$-stable distributions is used.","PeriodicalId":185201,"journal":{"name":"2020 Baltic URSI Symposium (URSI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Some Remarks on Maximum Likelihood Estimation in Alpha-Stable Environment\",\"authors\":\"Z. Gajo\",\"doi\":\"10.23919/URSI48707.2020.9254052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed $\\\\alpha$-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of $\\\\alpha$-stable distributions is used.\",\"PeriodicalId\":185201,\"journal\":{\"name\":\"2020 Baltic URSI Symposium (URSI)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Baltic URSI Symposium (URSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSI48707.2020.9254052\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Baltic URSI Symposium (URSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSI48707.2020.9254052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Some Remarks on Maximum Likelihood Estimation in Alpha-Stable Environment
This paper concerns the problem of maximum likelihood (ML) estimation in the case of impulsive observations modeled by heavy-tailed $\alpha$-stable distributions. To describe analytically the cost function in ML estimation criterion the Fox function representation of $\alpha$-stable distributions is used.