Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 26, issue 2
Articles | Volume 26, issue 2
https://doi.org/10.5194/npg-26-91-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-26-91-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 2
Research article
 | 
14 Jun 2019
Research article |  | 14 Jun 2019

Statistical hypothesis testing in wavelet analysis: theoretical developments and applications to Indian rainfall

Justin A. Schulte

Viewed

Total article views: 3,743 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,637 1,010 96 3,743 236 108 93
  • HTML: 2,637
  • PDF: 1,010
  • XML: 96
  • Total: 3,743
  • Supplement: 236
  • BibTeX: 108
  • EndNote: 93
Views and downloads (calculated since 13 Dec 2018)
Cumulative views and downloads (calculated since 13 Dec 2018)

Viewed (geographical distribution)

Total article views: 3,743 (including HTML, PDF, and XML) Thereof 2,986 with geography defined and 757 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 02 Apr 2025
Download
Short summary
Statistical hypothesis tests in wavelet analysis are used to asses the likelihood that time series features are noise. The choice of test will determine which features emerge as a signal. Tests based on area do poorly at distinguishing abrupt fluctuations from periodic behavior, unlike tests based on arclength that do better. The application of the tests suggests that there are features in Indian rainfall time series that emerge from background noise.
Read more
Share