{"title":"有限差分空间中多项式回归系数估计","authors":"Anatolii Omelchenko, Oleksii Fedorov","doi":"10.1109/RADIOELEK.2015.7129024","DOIUrl":null,"url":null,"abstract":"Estimators for polynomial regression coefficients in case when correlation function of observation noise is not completely known have been considered. It was shown that sufficient statistics to define i-th order regression coefficient with respect to equidistantly spaced samples are finite differences of the same order. The major attention was paid to research into roundoff noises influence on precision of polynomial regression coefficients computation.","PeriodicalId":193275,"journal":{"name":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Polynomial regression coefficients estimation in finite differences space\",\"authors\":\"Anatolii Omelchenko, Oleksii Fedorov\",\"doi\":\"10.1109/RADIOELEK.2015.7129024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimators for polynomial regression coefficients in case when correlation function of observation noise is not completely known have been considered. It was shown that sufficient statistics to define i-th order regression coefficient with respect to equidistantly spaced samples are finite differences of the same order. The major attention was paid to research into roundoff noises influence on precision of polynomial regression coefficients computation.\",\"PeriodicalId\":193275,\"journal\":{\"name\":\"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADIOELEK.2015.7129024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADIOELEK.2015.7129024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Polynomial regression coefficients estimation in finite differences space
Estimators for polynomial regression coefficients in case when correlation function of observation noise is not completely known have been considered. It was shown that sufficient statistics to define i-th order regression coefficient with respect to equidistantly spaced samples are finite differences of the same order. The major attention was paid to research into roundoff noises influence on precision of polynomial regression coefficients computation.