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| 008 | 160312s2016 gw | s |||| 0|eng d | ||
| 020 | _a9783319304366 | ||
| 040 | _aES-MaUEC | ||
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_aQA280 _b.B738 2016 EB |
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| 100 | 1 |
_aBarbulescu, Alina _998880 _0Local |
|
| 245 | 1 | 0 |
_aStudies on Time Series Applications in Environmental Sciences _cby Alina Barbulescu |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 | _a1 recurso en línea (XIII, 187 p.) 86 il., 24 il. col. | ||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 1 |
_aIntelligent Systems Reference Library _x1868-4394 _v103 |
|
| 520 | _aTime 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. . | ||
| 942 |
_2lcc _cLE |
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_9141270 _aSeries temporales _0comprobar BNE19900996240 _2embne |
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_aCiencias medioambientales _0comprobar BNE19990340827 _2embne _9155352 |
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| 830 | 0 |
_aIntelligent Systems Reference Library _x1868-4394 _v103 _9134112 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30436-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319304366 | ||
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