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Studies on time series applications ...

Barbulescu, Alina.

Studies on time series applications in environmental sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Studies on time series applications in environmental sciencesby Alina Barbulescu.
作者:	Barbulescu, Alina.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xiii, 187 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Time-series analysis.
電子資源:	http://dx.doi.org/10.1007/978-3-319-30436-6
ISBN:	9783319304366$q(electronic bk.)

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$q(electronic bk.)

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

181890
Time-series analysis.

LC Class. No.: QA280

Dewey Class. No.: 519.55

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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.
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