Ebook: Time Series Analysis and Applications to Geophysical Systems
- Tags: Probability Theory and Stochastic Processes, Statistics for Engineering Physics Computer Science Chemistry and Earth Sciences, Meteorology/Climatology, Earth Sciences general, Geophysics/Geodesy, Applications of Mathematics
- Series: The IMA Volumes in Mathematics and its Applications 139
- Year: 2004
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology.
The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.
Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology.
The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.
Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology.
The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.
Content:
Front Matter....Pages i-xii
Nonparametric Deconvolution of Seismic Depth Phases....Pages 1-10
State Space Approach to Signal Extraction Problems in Seismology....Pages 11-39
Improved Signal Transmission Through Randomization....Pages 41-51
Online Analysis of Seismic Signals....Pages 53-71
Nonstationary Time Series Analysis of Monthly Global Temperature Anomalies....Pages 73-103
A Test for Detecting Changes in Mean....Pages 105-121
Spatio-Temporal Modelling of Temperature Time Series: A Comparative Study....Pages 123-150
Modeling North Pacific Climate Time Series....Pages 151-167
Skew-Elliptical Time Series with Application to Flooding Risk....Pages 169-185
Hidden Periodicities Analysis and its Application in Geophysics....Pages 187-194
The Innovation Approach to the Identification of Nonlinear Causal Models in Time Series Analysis....Pages 195-226
Non-Gaussian Time Series Models....Pages 227-237
Modeling Continuous Time Series Driven by Fractional Gaussian Noise....Pages 239-255
Back Matter....Pages 257-260
Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology.
The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.
Content:
Front Matter....Pages i-xii
Nonparametric Deconvolution of Seismic Depth Phases....Pages 1-10
State Space Approach to Signal Extraction Problems in Seismology....Pages 11-39
Improved Signal Transmission Through Randomization....Pages 41-51
Online Analysis of Seismic Signals....Pages 53-71
Nonstationary Time Series Analysis of Monthly Global Temperature Anomalies....Pages 73-103
A Test for Detecting Changes in Mean....Pages 105-121
Spatio-Temporal Modelling of Temperature Time Series: A Comparative Study....Pages 123-150
Modeling North Pacific Climate Time Series....Pages 151-167
Skew-Elliptical Time Series with Application to Flooding Risk....Pages 169-185
Hidden Periodicities Analysis and its Application in Geophysics....Pages 187-194
The Innovation Approach to the Identification of Nonlinear Causal Models in Time Series Analysis....Pages 195-226
Non-Gaussian Time Series Models....Pages 227-237
Modeling Continuous Time Series Driven by Fractional Gaussian Noise....Pages 239-255
Back Matter....Pages 257-260
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