0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R2,500 - R5,000 (2)
  • -
Status
Brand

Showing 1 - 2 of 2 matches in All Departments

Nonstationarities in Hydrologic and Environmental Time Series (Hardcover, 2003 ed.): A.R. Rao, K.H. Hamed, Huey-Long Chen Nonstationarities in Hydrologic and Environmental Time Series (Hardcover, 2003 ed.)
A.R. Rao, K.H. Hamed, Huey-Long Chen
R4,286 Discovery Miles 42 860 Ships in 12 - 17 working days

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.

Nonstationarities in Hydrologic and Environmental Time Series (Paperback, Softcover reprint of the original 1st ed. 2003): A.R.... Nonstationarities in Hydrologic and Environmental Time Series (Paperback, Softcover reprint of the original 1st ed. 2003)
A.R. Rao, K.H. Hamed, Huey-Long Chen
R4,256 Discovery Miles 42 560 Ships in 10 - 15 working days

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.

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Sunbeam Steam and Spray Iron
R270 Discovery Miles 2 700
Discovering Daniel - Finding Our Hope In…
Amir Tsarfati, Rick Yohn Paperback R280 R210 Discovery Miles 2 100
Hoe Ek Dit Onthou
Francois Van Coke, Annie Klopper Paperback R300 R219 Discovery Miles 2 190
Loot
Nadine Gordimer Paperback  (2)
R383 R310 Discovery Miles 3 100
Crybaby
Tegan & Sara CD R363 Discovery Miles 3 630
Multi Colour Jungle Stripe Neckerchief
R119 Discovery Miles 1 190
Canon 445 Original Ink Cartridge (Black)
R700 R335 Discovery Miles 3 350
Loot
Nadine Gordimer Paperback  (2)
R383 R310 Discovery Miles 3 100
Efekto Cypermethrin - Emulsifiable…
R109 Discovery Miles 1 090
Piranha USB Charge Dock for PlayStation…
R217 Discovery Miles 2 170

 

Partners