{"title":"机电教育:辅导论文:测量专业人员的自回归综合移动平均时间序列分析","authors":"K. Barbé, K. Pien, Camille Raets, Koen Putman","doi":"10.1109/MIM.2023.10146567","DOIUrl":null,"url":null,"abstract":"Dynamical measurements are abundantly available when using instruments to collect data. Such dynamical measurements are time series which hold quantities with time-dependent values. The main focus of analyzing time series is either to obtain insight in the data generating process or to render predictions about the future given the past measurements.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"27-36"},"PeriodicalIF":1.6000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Education in I&M: Tutorial Paper: Autoregressive Integrated Moving Average Time Series Analysis for Measurement Professionals\",\"authors\":\"K. Barbé, K. Pien, Camille Raets, Koen Putman\",\"doi\":\"10.1109/MIM.2023.10146567\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamical measurements are abundantly available when using instruments to collect data. Such dynamical measurements are time series which hold quantities with time-dependent values. The main focus of analyzing time series is either to obtain insight in the data generating process or to render predictions about the future given the past measurements.\",\"PeriodicalId\":55025,\"journal\":{\"name\":\"IEEE Instrumentation & Measurement Magazine\",\"volume\":\"26 1\",\"pages\":\"27-36\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Instrumentation & Measurement Magazine\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1109/MIM.2023.10146567\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Instrumentation & Measurement Magazine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/MIM.2023.10146567","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Education in I&M: Tutorial Paper: Autoregressive Integrated Moving Average Time Series Analysis for Measurement Professionals
Dynamical measurements are abundantly available when using instruments to collect data. Such dynamical measurements are time series which hold quantities with time-dependent values. The main focus of analyzing time series is either to obtain insight in the data generating process or to render predictions about the future given the past measurements.
期刊介绍：
IEEE Instrumentation & Measurement Magazine is a bimonthly publication. It publishes in February, April, June, August, October, and December of each year. The magazine covers a wide variety of topics in instrumentation, measurement, and systems that measure or instrument equipment or other systems. The magazine has the goal of providing readable introductions and overviews of technology in instrumentation and measurement to a wide engineering audience. It does this through articles, tutorials, columns, and departments. Its goal is to cross disciplines to encourage further research and development in instrumentation and measurement.
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