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文章基本信息

  • 标题:Mann-Kendall Test - A Novel Approach for Statistical Trend Analysis
  • 作者:Neel Kamal ; Dr.Sanjay Pachauri
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2018
  • 卷号:63
  • 期号:1
  • DOI:10.14445/22312803/IJCTT-V63P104
  • 出版社:Seventh Sense Research Group
  • 摘要:Trend Analysis is aimed at projecting both current and future movement of observations through the use of time series data analysis which involves comparison of data over a sequential period of time to spot a pattern or trend. MannKendell test is one of the most popular nonparametric trend test based on ranking of observations. The current paper describes Mann Kendall Test in the context of time series data analysis. It also presents a case study to demonstrate the implementation and advantage of using Mann Kendall Test over other trend analysis techniques
  • 关键词:Trend Analysis; Time Series Data; Non-parametric Test; Mann Kendall Test.
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