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Comparison of Time Series and Functional Data Analysis for the Study of Seasonality.

机译:时间序列和功能数据分析的比较研究季节性。

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摘要

Classical time series analysis has well known methods for the study of seasonality. A more recent method of functional data analysis has proposed phase-plane plots for the representation of each year of a time series. However, the study of seasonality within functional data analysis has not been explored extensively. Time series analysis is first introduced, followed by phase-plane plot analysis, and then compared by looking at the insight that both methods offer particularly with respect to the seasonal behavior of a variable. Also, the possible combination of both approaches is explored, specifically with the analysis of the phase-plane plots. The methods are applied to data observations measuring water flow in cubic feet per second collected monthly in Newport, TN from the French Broad River. Simulated data corresponding to typical time series cases are then used for comparison and further exploration.
机译:古典时间序列分析具有研究季节性的众所周知的方法。一种较新的功能数据分析方法已经提出了相平面图,用于表示时间序列的每年。但是,功能数据分析中的季节性研究尚未得到广泛探讨。首先介绍时间序列分析,然后再进行相平面图分析,然后通过查看两种方法特别针对变量的季节性行为提供的见解进行比较。此外,还探索了这两种方法的可能组合,尤其是在分析相平面图时。该方法应用于数据观测,该数据观测以每月立方英尺/秒的速度从田纳西州纽波特市从法国宽河采集。然后将与典型时间序列情况相对应的模拟数据用于比较和进一步探索。

著录项

  • 作者

    Allen, Jake.;

  • 作者单位

    East Tennessee State University.;

  • 授予单位 East Tennessee State University.;
  • 学科 Applied Mathematics.;Mathematics.
  • 学位 M.S.
  • 年度 2011
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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