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Studies on time series applications ...

Barbulescu, Alina.

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Studies on time series applications in environmental sciences

Record Type:	Electronic resources : Monograph/item
Title/Author:	Studies on time series applications in environmental sciences/ by Alina Barbulescu.
Author:	Barbulescu, Alina.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xiii, 187 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Hypotheses Testing on Meteorological Time Series -- Mathematical Methods Applied for Modeling Meteorological Time Series -- Models for Precipitation Series -- Modeling the Precipitation Evolution at Regional Scale -- Analysis and Models for Surface Water Quality -- Models for Pollutants Dissipation -- Spatial Interpolation with Applications.
Contained By:	Springer eBooks
Subject:	Time-series analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-30436-6
ISBN:	9783319304366

Studies on time series applications in environmental sciences
Barbulescu, Alina.

Studies on time series applications in environmental sciences[electronic resource] /by Alina Barbulescu. - Cham :Springer International Publishing :2016. - xiii, 187 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1031868-4394 ;. - Intelligent systems reference library ;v.24..

Hypotheses Testing on Meteorological Time Series -- Mathematical Methods Applied for Modeling Meteorological Time Series -- Models for Precipitation Series -- Modeling the Precipitation Evolution at Regional Scale -- Analysis and Models for Surface Water Quality -- Models for Pollutants Dissipation -- Spatial Interpolation with Applications.

Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.

ISBN: 9783319304366

Standard No.: 10.1007/978-3-319-30436-6doiSubjects--Topical Terms:

532530
Time-series analysis.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Studies on time series applications in environmental sciences
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245 1 0 $a Studies on time series applications in environmental sciences $h [electronic resource] / $c by Alina Barbulescu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xiii, 187 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.103
505 0 $a Hypotheses Testing on Meteorological Time Series -- Mathematical Methods Applied for Modeling Meteorological Time Series -- Models for Precipitation Series -- Modeling the Precipitation Evolution at Regional Scale -- Analysis and Models for Surface Water Quality -- Models for Pollutants Dissipation -- Spatial Interpolation with Applications.
520 $a Time series analysis and modelling represent a large study field, implying the approach from the perspective of the time and frequency, with applications in different domains. Modelling hydro-meteorological time series is difficult due to the characteristics of these series, as long range dependence, spatial dependence, the correlation with other series. Continuous spatial data plays an important role in planning, risk assessment and decision making in environmental management. In this context, in this book we present various statistical tests and modelling techniques used for time series analysis, as well as applications to hydro-meteorological series from Dobrogea, a region situated in the south-eastern part of Romania, less studied till now. Part of the results are accompanied by their R code.
650 0 $a Time-series analysis. $3 532530
650 0 $a Environmental sciences $x Mathematical models. $3 550962
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
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950 $a Engineering (Springer-11647)