{"title":"一种在观测序列中识别和排除异常值的方法","authors":"Jia Pei-zhang","doi":"10.1016/0146-6364(80)90012-2","DOIUrl":null,"url":null,"abstract":"<div><p>The present paper identifies and rejects outliers in an observational series on the basis of two statistics, the sum of residual squares from polymomial fitting and predicted residual in recursive filtering. An example is given. The present method is effective against both single and grouped outliers.</p></div>","PeriodicalId":100241,"journal":{"name":"Chinese Astronomy","volume":"4 3","pages":"Pages 292-297"},"PeriodicalIF":0.0000,"publicationDate":"1980-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-6364(80)90012-2","citationCount":"0","resultStr":"{\"title\":\"A method of identifying and rejecting outliers in observational series\",\"authors\":\"Jia Pei-zhang\",\"doi\":\"10.1016/0146-6364(80)90012-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The present paper identifies and rejects outliers in an observational series on the basis of two statistics, the sum of residual squares from polymomial fitting and predicted residual in recursive filtering. An example is given. The present method is effective against both single and grouped outliers.</p></div>\",\"PeriodicalId\":100241,\"journal\":{\"name\":\"Chinese Astronomy\",\"volume\":\"4 3\",\"pages\":\"Pages 292-297\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0146-6364(80)90012-2\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Astronomy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0146636480900122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Astronomy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0146636480900122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method of identifying and rejecting outliers in observational series
The present paper identifies and rejects outliers in an observational series on the basis of two statistics, the sum of residual squares from polymomial fitting and predicted residual in recursive filtering. An example is given. The present method is effective against both single and grouped outliers.
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