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. Preface 7 Contents 9 Data Series 11 1 Hypotheses Testing on Meteorological Time Series 14 1 Normality Tests 14 2 Homoskedasticity Tests 20 3 Autocorrelation Tests 22 4 Outliers’ Detection 28 5 Change Points’ Detection 32 6 Testing for Long Range Dependence Property 44 7 Goodness of Fit Tests 55 References 58 2 Mathematical Methods Applied for Hydro-meteorological Time Series Modeling 63 1 Types of Models. Classical Decomposition Method 64 2 Box–Jenkins Approach and Stationarity Tests 67 2.1 Box–Jenkins Approach 67 2.2 Stationarity Tests 73 3 Genetic Algorithms 78 3.1 Gene Expression Programming 79 3.2 Adaptive Gene Expression Programming 81 4 Support Vector Regression (SVR) 82 5 General Regression Neural Network (GRNN) 83 6 Wavelets 84 References 86 3 Models for Precipitation Series 90 1 ARMA Models for Precipitation Series and Generation of Precipitation Fields 90 1.1 ARMA Models for Precipitation Series and Generation of Annual Precipitation Fields 90 1.1.1 Generation of Annual Precipitation Series for the Main Stations in Dobrogea 93 1.1.2 Models for Annual Precipitation Series from the Secondary Stations in Dobrogea 100 1.2 Generation of Monthly Precipitation Series 102 1.2.1 Theoretical Considerations 102 1.2.2 Case Study 106 2 Modeling and Forecast Using GEP, AdaGEP, SVR, GRNN and Hybrid Models 116 3 Decomposition and Wavelets Models 122 References 129 4 Modeling the Precipitation Evolution at Regional Scale 132 1 On the Correlation and Predictability of Precipitation at Regional Scale 132 2 Modeling the Regional Precipitation 137 2.1 Models for the Regional Annual and Monthly Precipitation Series 139 2.2 Models for the Regional Monthly Maximum Annual Precipitation 142 3 Generation of Annual Precipitation Field at Regional Scale 149 3.1 Overview of Some Theoretical Approaches 149 3.2 Application to Annual Precipitation in Dobrogea Region 151 References 153 5 Analysis and Models for Surface Water Quality 156 1 On the Hydrochemical Properties of the Water of Techirghiol Lake 157 2 On the Temperature of the Water of Techirghiol Lake 160 References 161 6 Models for Pollutants Dissipation 163 1 GRNN Models 164 2 Linear Models 166 References 167 7 Spatial Interpolation with Applications 169 Abstract 169 1 Theoretical Considerations on the Spatial Interpolation Methods 169 1.1 Mechanical Methods 170 1.1.1 The Thiessen Polygons Method [27] 170 1.1.2 Inverse Distance Weighted Interpolation (IDW) 170 1.1.3 Nearest Neighbor Interpolation 172 1.1.4 Natural Neighbor Interpolation 172 1.1.5 Splines şi Local Trend Surface 172 1.2 Statistical Methods 173 1.2.1 Variogram 173 1.2.2 Kriging 176 2 Applications of the Spatial Interpolation Methods 177 2.1 The Most Probable Precipitation Method 177 2.2 Spatial Interpolation of Maximum Annual Precipitation 183 2.2.1 Spatial Interpolation by Kriging 183 2.2.2 Spatial Interpolation by IDW 186 2.3 Spatial Interpolation of the Parameters in the AR Models for the Annual Precipitation Series 186 References 196 "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" -- OhioLink Library Catalog Front Matter....Pages i-xiii Hypotheses Testing on Meteorological Time Series....Pages 1-49 Mathematical Methods Applied for Hydro-meteorological Time Series Modeling....Pages 51-77 Models for Precipitation Series....Pages 79-120 Modeling the Precipitation Evolution at Regional Scale....Pages 121-144 Analysis and Models for Surface Water Quality....Pages 145-151 Models for Pollutants Dissipation....Pages 153-158 Spatial Interpolation with Applications....Pages 159-187
