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ucin1172507478.pdf (8.75 MB)
ETD Abstract Container
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THE ANALYSIS OF UNEQUALLY SPACED TIME SERIES
Author Info
ZHANG, SHIQIAO
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172507478
Abstract Details
Year and Degree
2007, MS, University of Cincinnati, Engineering : Computer Science.
Abstract
The aim of the time series analysis is to identify the periodic phenomena inherent to the given data. Fourier analysis is often the standard approach used to perform the time series analysis. However, it is inadequate as it can only be used to treat equally spaced data and resolve regular frequency bands. In this thesis, the unequally spaced data will be addressed by the Lomb method. The least squares and classic periodogram methods are introduced, and their relationship is discussed. The Lomb method, which is a revised periodogram method, is then established and its statistical behavior is explained. The Lomb method is later implemented with the C# programming language and its computing efficiency is analyzed. Finally, the software package is applied to analyze the Pleistocene deep-sea paleoclimatic records. The results are discussed and compared with those published previously.
Committee
Dr. Dieter Schmidt (Advisor)
Pages
159 p.
Keywords
time series
;
Lomb method
;
unequally spaced series
;
frequency domain
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Citations
ZHANG, S. (2007).
THE ANALYSIS OF UNEQUALLY SPACED TIME SERIES
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172507478
APA Style (7th edition)
ZHANG, SHIQIAO.
THE ANALYSIS OF UNEQUALLY SPACED TIME SERIES.
2007. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172507478.
MLA Style (8th edition)
ZHANG, SHIQIAO. "THE ANALYSIS OF UNEQUALLY SPACED TIME SERIES." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1172507478
Chicago Manual of Style (17th edition)
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Document number:
ucin1172507478
Download Count:
1,045
Copyright Info
© 2007, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.