{"title":"杜宾法在MA谱估计中的另一种推导","authors":"Y. Leung","doi":"10.1109/ISSPA.2005.1581083","DOIUrl":null,"url":null,"abstract":"Durbin’s method is often regarded as the method of choice when estimating the parameters of a moving average (MA) process. In Durbin’s original paper, he derived the method using a statistical approach and showed that it is approximately maximum likelihood. This statistical approach renders the method, however, inaccessible to students without a background in statistical estimation theory. In this paper, we present a non-statistical derivation of the method.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An alternative derivation of the Durbin method for MA spectrum estimation\",\"authors\":\"Y. Leung\",\"doi\":\"10.1109/ISSPA.2005.1581083\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Durbin’s method is often regarded as the method of choice when estimating the parameters of a moving average (MA) process. In Durbin’s original paper, he derived the method using a statistical approach and showed that it is approximately maximum likelihood. This statistical approach renders the method, however, inaccessible to students without a background in statistical estimation theory. In this paper, we present a non-statistical derivation of the method.\",\"PeriodicalId\":385337,\"journal\":{\"name\":\"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2005.1581083\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2005.1581083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An alternative derivation of the Durbin method for MA spectrum estimation
Durbin’s method is often regarded as the method of choice when estimating the parameters of a moving average (MA) process. In Durbin’s original paper, he derived the method using a statistical approach and showed that it is approximately maximum likelihood. This statistical approach renders the method, however, inaccessible to students without a background in statistical estimation theory. In this paper, we present a non-statistical derivation of the method.