BibTex RIS Cite
Year 2011, Volume: 3 Issue: 9, 61 - 94, 01.03.2011

Abstract

WAVELET TRANSFORMS IN TIME SERIES ANALYSIS

Year 2011, Volume: 3 Issue: 9, 61 - 94, 01.03.2011

Abstract

The existing methods based on statistical techniques for long range
forecasts of Indian summer monsoon rainfall have shown reasonably accurate
performance, for past 10 years. Because of the limitation of such statistical
techniques, new techniques may have to be tried to obtain better results. Time
series analysis and forecasting using wavelet transforms has become a powerful
tool to determine, within a time series, both the dominant modes of variability
and how those modes vary in time. A preliminary investigation, using wavelet
analysis, on temperature and rainfall time series is presented.

There are 0 citations in total.

Details

Other ID JA55UG45UC
Journal Section Articles
Authors

R.c. Sıngh This is me

Publication Date March 1, 2011
Submission Date March 1, 2011
Published in Issue Year 2011 Volume: 3 Issue: 9

Cite

APA Sıngh, R. (2011). WAVELET TRANSFORMS IN TIME SERIES ANALYSIS. İstanbul Aydın Üniversitesi Dergisi, 3(9), 61-94.

All site content, except where otherwise noted, is licensed under a Creative Common Attribution Licence. (CC-BY-NC 4.0)

by-nc-300x105-1.png