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    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
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Nonstationarities in Hydrologic and Environmental Time Series

Nonstationarities in Hydrologic and Environmental Time Series

Rao, A. R.
Hamed, K. H.
Huey-Long Chen

Hardcover

Series: Water Science and Technology Library, Book 45

Environmental StudiesGeneral MathematicsProbability & Statistics

ISBN10: 1402012977
ISBN13: 9781402012976
Publisher: Springer Nature
Published: Jul 31 2003
Pages: 365
Weight: 1.83
Height: 0.87 Width: 7.04 Depth: 9.20
Language: English
Conventionally, time series have been studied either in the time domain or the frequency domain. The representation of a signal in the time domain is localized in time, i.e . the value of the signal at each instant in time is well defined . However, the time representation of a signal is poorly localized in frequency, i.e. little information about the frequency content of the signal at a certain frequency can be known by looking at the signal in the time domain . On the other hand, the representation of a signal in the frequency domain is well localized in frequency, but is poorly localized in time, and as a consequence it is impossible to tell when certain events occurred in time. In studying stationary or conditionally stationary processes with mixed spectra, the separate use of time domain and frequency domain analyses is sufficient to reveal the structure of the process . Results discussed in the previous chapters suggest that the time series analyzed in this book are conditionally stationary processes with mixed spectra. Additionally, there is some indication of nonstationarity, especially in longer time series.

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