基于记录的功能时间序列分析和可视化

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-07-08 DOI:10.1080/10618600.2024.2374578

Israel Martínez-Hernández, Marc G. Genton

引用次数: 0

摘要

在许多现象中，数据都是以不同频率大规模收集的。在这种情况下，功能数据分析 (FDA) 已成为一种重要的统计方法，用于分析各种数据。

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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Functional Time Series Analysis and Visualization Based on Records

In many phenomena, data are collected on a large scale and at different frequencies. In this context, functional data analysis (FDA) has become an important statistical methodology for analyzing an...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.