Analysis of Nonstationary Time Series with Time Varying Frequencies: Piecewise M-Stationary Process

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This thesis focuses on the analysis of nonstationary processes with linearly time vary-ing periodic behavior. First we develop LM-stationary processes for analyzing time series data with linearly compacting periodic behavior. Spectral analysis using this method shows better performance than that using the Wigner-Ville time frequency distribution. The LM-stationary forecasts produce better results than autoregressive forecasts applied directly to time...

Format:Paperback

Language:English

ISBN:1721737669

ISBN13:9781721737666

Release Date:June 2018

Publisher:Createspace Independent Publishing Platform

Length:102 Pages

Weight:0.57 lbs.

Dimensions:0.2" x 8.5" x 11.0"

Related Subjects

Engineering Technology

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Analysis of Nonstationary Time Series with Time Varying Frequencies: Piecewise M-Stationary Process

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