عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
9781441919717
9781468493863
dltt
Time Series Analysis and Applications to Geophysical Systems
[Book]
edited by David R. Brillinger, Enders Anthony Robinson, Frederic Paik Schoenberg.
New York, NY :
Springer New York,
2004.
IMA Volumes in Mathematics and its Applications,
139
0940-6573 ;
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.
0
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.
9781441919717
Springer eBooks
Distribution (Probability theory).
Geography.
Mathematics.
Meteorology.
Physical geography.
Brillinger, David R.
Robinson, Enders Anthony.
Schoenberg, Frederic Paik.
SpringerLink (Online service)
20190307162700.0
مطالعه متن کتاب [Book]
Y
