Modeling the hydro-meteorological time series (Paperback)

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The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers.

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Product Description

The importance of finding a well fitted model for hydro-meteorological time series cannot be denied, the main gain of a successful approach being the possibility to explain the past and to provide informed insight for the future. Therefore, we tried to present here some techniques that can be used to build a mathematical model for time series (particularly for hydro-meteorological ones), starting from statistical tests of data analysis, passing to the empirical models, nonparametric techniques, ARIMA models and heuristic methods. Since our intention was to write a book easy to read, the theory is shortly presented and is followed by applications on real data that are the results our three years research work. We hope that this material will be useful for postgraduate students, as well as for the researchers.

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Product Details

General

Imprint

Lap Lambert Academic Publishing

Country of origin

Germany

Release date

November 2010

Availability

Expected to ship within 10 - 15 working days

First published

November 2010

Authors

, ,

Dimensions

229 x 152 x 8mm (L x W x T)

Format

Paperback - Trade

Pages

136

ISBN-13

978-3-8433-6578-9

Barcode

9783843365789

Categories

LSN

3-8433-6578-4



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