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Studies on Time Series Applications in Environmental Sciences
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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Intelligent Systems Reference Library,
103 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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|---|---|---|---|
| 001 | 978-3-319-30436-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220112162627.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160312s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319304366 |9 978-3-319-30436-6 | ||
| 024 | 7 | |a 10.1007/978-3-319-30436-6 |2 doi | |
| 050 | 4 | |a Q342 | |
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| 100 | 1 | |a Bărbulescu, Alina. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Studies on Time Series Applications in Environmental Sciences |h [electronic resource] / |c by Alina Bărbulescu. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a XIII, 187 p. 86 illus., 24 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 103 | |
| 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 Computational intelligence. | |
| 650 | 0 | |a Geotechnical engineering. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Computational Intelligence. |
| 650 | 2 | 4 | |a Geotechnical Engineering and Applied Earth Sciences. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319304342 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319304359 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319808093 |
| 830 | 0 | |a Intelligent Systems Reference Library, |x 1868-4408 ; |v 103 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-30436-6 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||