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Studies on Time Series Applications in Environmental Sciences 1st ed. 2016 [Kõva köide]

  • Formaat: Hardback, 187 pages, kõrgus x laius: 235x155 mm, kaal: 4321 g, 24 Illustrations, color; 62 Illustrations, black and white; XIII, 187 p. 86 illus., 24 illus. in color., 1 Hardback
  • Sari: Intelligent Systems Reference Library 103
  • Ilmumisaeg: 23-Mar-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319304348
  • ISBN-13: 9783319304342
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Studies on Time Series Applications in Environmental Sciences 1st ed. 2016Suurem pilt
  • Formaat: Hardback, 187 pages, kõrgus x laius: 235x155 mm, kaal: 4321 g, 24 Illustrations, color; 62 Illustrations, black and white; XIII, 187 p. 86 illus., 24 illus. in color., 1 Hardback
  • Sari: Intelligent Systems Reference Library 103
  • Ilmumisaeg: 23-Mar-2016
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319304348
  • ISBN-13: 9783319304342
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319304342.html
Märksõnad:

This book covers recent advances in Complex Automated Negotiations as a widely studied emerging area in the field of Autonomous Agents and Multi-Agent Systems. The book includes selected revised and extended papers from the 7th International Workshop on Agent-Based Complex Automated Negotiation (ACAN2014), which was held in Paris, France, in May 2014. The book also includes brief introductions about Agent-based Complex Automated Negotiation which are based on tutorials provided in the workshop, and brief summaries and descriptions about the ANAC'14  (Automated Negotiating Agents Competition) competition, where authors of selected finalist agents explain the strategies and the ideas used by them. The book is targeted to academic and industrial researchers in various communities of autonomous agents and multi-agent systems, such as agreement technology, mechanism design, electronic commerce, related areas, as well as graduate, undergraduate, and PhD students working in those areas or having interest in them.

Arvustused

I enjoyed reading this carefully written book and would certainly recommend it to postgraduate students and researchers of meteorology, and applied mathematicians and statisticians who deal with such environmental science data. (Computing Reviews, October, 2017)

1 Hypotheses Testing on Meteorological Time Series
1(50)
1 Normality Tests
1(6)
2 Homoskedasticity Tests
7(2)
3 Autocorrelation Tests
9(6)
4 Outliers' Detection
15(4)
5 Change Points' Detection
19(12)
6 Testing for Long Range Dependence Property
31(11)
7 Goodness of Fit Tests
42(9)
References
45(6)
2 Mathematical Methods Applied for Hydro-meteorological Time Series Modeling
51(28)
1 Types of Models. Classical Decomposition Method
52(3)
2 Box-Jenkins Approach and Stationarity Tests
55(11)
2.1 Box-Jenkins Approach
55(6)
2.2 Stationarity Tests
61(5)
3 Genetic Algorithms
66(4)
3.1 Gene Expression Programming
67(2)
3.2 Adaptive Gene Expression Programming
69(1)
4 Support Vector Regression (SVR)
70(1)
5 General Regression Neural Network (GRNN)
71(1)
6 Wavelets
72(7)
References
74(5)
3 Models for Precipitation Series
79(42)
1 ARMA Models for Precipitation Series and Generation of Precipitation Fields
79(26)
1.1 ARMA Models for Precipitation Series and Generation of Annual Precipitation Fields
79(12)
1.2 Generation of Monthly Precipitation Series
91(14)
2 Modeling and Forecast Using GEP, AdaGEP, SVR, GRNN and Hybrid Models
105(6)
3 Decomposition and Wavelets Models
111(10)
References
118(3)
4 Modeling the Precipitation Evolution at Regional Scale
121(24)
1 On the Correlation and Predictability of Precipitation at Regional Scale
121(5)
2 Modeling the Regional Precipitation
126(12)
2.1 Models for the Regional Annual and Monthly Precipitation Series
128(3)
2.2 Models for the Regional Monthly Maximum Annual Precipitation
131(7)
3 Generation of Annual Precipitation Field at Regional Scale
138(7)
3.1 Overview of Some Theoretical Approaches
138(2)
3.2 Application to Annual Precipitation in Dobrogea Region
140(2)
References
142(3)
5 Analysis and Models for Surface Water Quality
145(8)
1 On the Hydrochemical Properties of the Water of Techirghiol Lake
146(3)
2 On the Temperature of the Water of Techirghiol Lake
149(4)
References
150(3)
6 Models for Pollutants Dissipation
153(6)
1 GRNN Models
154(2)
2 Linear Models
156(3)
References
157(2)
7 Spatial Interpolation with Applications
159
1 Theoretical Considerations on the Spatial Interpolation Methods
159(8)
1.1 Mechanical Methods
160(3)
1.2 Statistical Methods
163(4)
2 Applications of the Spatial Interpolation Methods
167
2.1 The Most Probable Precipitation Method
167(6)
2.2 Spatial Interpolation of Maximum Annual Precipitation
173(3)
2.3 Spatial Interpolation of the Parameters in the AR Models for the Annual Precipitation Series
176(10)
References
186