MARC Record from harvard_bibliographic_metadata

LEADER: 04041nam a22005535a 4500
001 013841089-5
005 20131206202120.0
008 121227s2004 xxu| s ||0| 0|eng d
020 $a9781468493863
020 $a9781468493863
020 $a9781441919717
024 7 $a10.1007/978-1-4684-9386-3$2doi
035 $a(Springer)9781468493863
040 $aSpringer
050 4 $aQA273.A1-274.9
050 4 $aQA274-274.9
072 7 $aPBT$2bicssc
072 7 $aPBWL$2bicssc
072 7 $aMAT029000$2bisacsh
082 04 $a519.2$223
100 1 $aBrillinger, David R.,$eeditor.
245 10 $aTime Series Analysis and Applications to Geophysical Systems /$cedited by David R. Brillinger, Enders Anthony Robinson, Frederic Paik Schoenberg.
264 1 $aNew York, NY :$bSpringer New York,$c2004.
300 $aXII, 258p. 129 illus., 35 illus. in color.$bonline resource.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $atext file$bPDF$2rda
490 1 $aIMA volumes in mathematics and its applications,$x0940-6573 ;$v139
505 0 $aInterpretation 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 -- Modeling North Pacific climate time series -- Assortment of Important Time Series Problems and Applications -- Skew-elliptical time series with application to flood risk -- Hidden periodicities anaysis and its application in geophysics -- The innovation approach to the identification of nonlinear causal models in time series analysis -- Non-Gaussian time series driven by fractional Gaussian noise -- List of workshop participants. .
520 $aTime 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.
650 10 $aMathematics.
650 0 $aDistribution (Probability theory)
650 0 $aMathematics.
650 0 $aGeography.
650 0 $aPhysical geography.
650 0 $aMeteorology.
650 24 $aProbability Theory and Stochastic Processes.
650 24 $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 24 $aMeteorology/Climatology.
650 24 $aEarth Sciences, general.
650 24 $aGeophysics/Geodesy.
650 24 $aApplications of Mathematics.
700 1 $aSchoenberg, Frederic Paik,$eeditor.
700 1 $aRobinson, Enders Anthony,$eeditor.
776 08 $iPrinted edition:$z9781441919717
830 0 $aIMA Volumes in Mathematics and its Applications ;$v139.
988 $a20131119
906 $0VEN