東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Studies on time series applications ...

Barbulescu, Alina.

FindBook

Google Book

Amazon

博客來

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 sciences/ by 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.
內容註:	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
標題:	Time-series analysis. -
電子資源:	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
LDR:02163nmm m2200325 m 4500 001 2032693
003 DE-He213
005 20160920101034.0
006 m d
007 cr nn 008maaau
008 161011s2016 gw s 0 eng d
020 $a 9783319304366 $q (electronic bk.)
020 $a 9783319304342 $q (paper)
024 7 $a 10.1007/978-3-319-30436-6 $2 doi
035 $a 978-3-319-30436-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA280
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 519.55 $2 23
090 $a QA280 $b .B241 2016
100 1 $a Barbulescu, Alina. $3 2186790
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
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 1565915
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.24. $3 1566491
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-30436-6
950 $a Engineering (Springer-11647)