Description: Nonstationarities in Hydrologic and Environmental Time Series Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): A.R. Rao, K.H. Hamed, Huey-Long Chen Format: Paperback Publisher: Springer, Netherlands Imprint: Springer ISBN-13: 9789401039796, 978-9401039796 Synopsis 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, [url] . 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 , [url] 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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Book Title: Nonstationarities in Hydrologic and Environmental Time Series
Number of Pages: 365 Pages
Publication Name: Nonstationarities in Hydrologic and Environmental Time Series
Language: English
Publisher: Springer
Item Height: 240 mm
Subject: Engineering & Technology, Computer Science, Science, Mathematics
Publication Year: 2012
Type: Textbook
Item Weight: 598 g
Author: K.H. Hamed, A.R. Rao, Huey-Long Chen
Item Width: 160 mm
Series: Water Science and Technology Library
Format: Paperback
