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Nonstationarities in Hydrologic and Environmental Time Series (Hardcover, 2003 ed.)
Loot Price: R4,286
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Nonstationarities in Hydrologic and Environmental Time Series (Hardcover, 2003 ed.)
Series: Water Science and Technology Library, 45
Expected to ship within 12 - 17 working days
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Most of the time series analysis methods applied today rely heavily
on the key assumptions of linearity, Gaussianity and stationarity.
Natural time series, including hydrologic, climatic and
environmental time series, which satisfy these assumptions seem to
be the exception rather than the rule. Nevertheless, most time
series analysis is performed using standard methods after relaxing
the required conditions one way or another, in the hope that the
departure from these assumptions is not large enough to affect the
result of the analysis. A large amount of data is available today
after almost a century of intensive data collection of various
natural time series. In addition to a few older data series such as
sunspot numbers, sea surface temperatures, etc., data obtained
through dating techniques (tree-ring data, ice core data,
geological and marine deposits, etc.), are available. With the
advent of powerful computers, the use of simplified methods can no
longer be justified, especially with the success of these methods
in explaining the inherent variability in natural time series. This
book presents a number of new techniques that have been discussed
in the literature during the last two decades concerning the
investigation of stationarity, linearity and Gaussianity of
hydrologic and environmental times series. These techniques cover
different approaches for assessing nonstationarity, ranging from
time domain analysis, to frequency domain analysis, to the combined
time-frequency and time-scale analyses, to segmentation analysis,
in addition to formal statistical tests of linearity and
Gaussianity. It is hoped that this endeavor would facilitate
further research into this important area.
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