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Nonstationarities in Hydrologic and Environmental Time Series
Rao, A.R.; Hamed, K.H.; Chen, Huey-Long
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Description for Nonstationarities in Hydrologic and Environmental Time Series
Paperback. Series: Water Science and Technology Library. Num Pages: 392 pages, biography. BIC Classification: GPFC; PBT; PBWH; RBK. Category: (P) Professional & Vocational. Dimension: 240 x 160 x 21. Weight in Grams: 597.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer Netherlands
Number of pages
392
Condition
New
Series
Water Science and Technology Library
Number of Pages
365
Place of Publication
Dordrecht, Netherlands
ISBN
9789401039796
SKU
V9789401039796
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Nonstationarities in Hydrologic and Environmental Time Series
From the reviews: "The authors consider a number of modern statistical tests of nonstationarity, including trend analysis, multitaper method and maximum entropy spectral analysis, evolutionary spectral analysis, wavelet analysis, and series segmentation through change point detection. … this book is well organized and easy to read … . A clear distinction is made between processes ... Read more