Time Series Analysis and Applications to Geophysical Systems / edited by David R. Brillinger, Enders Anthony Robinson, Frederic Paik Schoenberg
(The IMA Volumes in Mathematics and its Applications ; 139)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | New York, NY : Springer New York |
| 出版年 | 2004 |
| 本文言語 | 英語 |
| 大きさ | XII, 260 p : online resource |
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| 内容注記 | Interpretation of Seismic Signals Nonparametric deconvolution of seismic depth phases State space approach to signal extraction problems in seismology Improved signal transmission through randomization Online analysis of seismic signals Temperature Data Nonstationary time series analysis of monthly global temperature anomalies A test for detecting changes in mean Spatio-temporal modelling of temperature time series: a comparative study Modeling North Pacific climate time series Assortment of Important Time Series Problems and Applications Skew-elliptical time series with application to flooding risk Hidden periodicities analysis and its application in geophysics The innovation approach to the identification of nonlinear causal models in time series analysis Non-Gaussian time series models Modeling continuous time series driven by fractional Gaussian noise List of workshop participants |
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| 一般注記 | 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 |
| 著者標目 | Brillinger, David R. editor Robinson, Enders Anthony editor Schoenberg, Frederic Paik editor SpringerLink (Online service) |
| 件 名 | LCSH:Mathematics LCSH:Earth sciences LCSH:Geophysics LCSH:Atmospheric sciences LCSH:Applied mathematics LCSH:Engineering mathematics LCSH:Probabilities LCSH:Statistics FREE:Mathematics FREE:Probability Theory and Stochastic Processes FREE:Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences FREE:Atmospheric Sciences FREE:Earth Sciences, general FREE:Geophysics/Geodesy FREE:Applications of Mathematics |
| 分 類 | DC23:519.2 |
| 巻冊次 | ISBN:9781468493863 
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| ISBN | 9781468493863 |
| URL | http://dx.doi.org/10.1007/978-1-4684-9386-3 |
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