Education in I&M: Tutorial Paper: Autoregressive Integrated Moving Average Time Series Analysis for Measurement Professionals

IF 1.6 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-06-01 DOI:10.1109/MIM.2023.10146567

K. Barbé, K. Pien, Camille Raets, Koen Putman

引用次数: 0

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.

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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

当使用仪器收集数据时，可以大量使用动态测量。这种动态测量是时间序列，其保持具有时间相关值的量。分析时间序列的主要重点是在数据生成过程中获得洞察力，或者根据过去的测量结果对未来进行预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Instrumentation & Measurement Magazine 工程技术-工程：电子与电气

CiteScore

4.20

自引率

4.80%

发文量

147

审稿时长

>12 weeks

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.