Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Studies on time series applications ...
~
Barbulescu, Alina.
Studies on time series applications in environmental sciences
Record Type:
Electronic resources : Monograph/item
Title/Author:
Studies on time series applications in environmental sciencesby Alina Barbulescu.
Author:
Barbulescu, Alina.
Published:
Cham :Springer International Publishing :2016.
Description:
xiii, 187 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Time-series analysis.
Online resource:
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
Studies on time series applications in environmental sciences
LDR
:02163nmm a2200325 a 4500
001
484021
003
DE-He213
005
20160920101034.0
006
m d
007
cr nn 008maaau
008
161012s2016 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
742051
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
181890
650
0
$a
Environmental sciences
$x
Mathematical models.
$3
189138
650
1 4
$a
Engineering.
$3
210888
650
2 4
$a
Computational Intelligence.
$3
338479
650
2 4
$a
Geotechnical Engineering & Applied Earth Sciences.
$3
542182
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Intelligent systems reference library ;
$v
v.24.
$3
558591
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-30436-6
950
$a
Engineering (Springer-11647)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000123811
電子館藏
1圖書
電子書
EB QA280 B241 2016
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-3-319-30436-6
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login