LEADER 02306nam 2200457 450 001 9910583330003321 005 20210811124904.0 010 $a0-12-813139-X 010 $a0-12-813138-1 035 $a(CKB)4100000003844708 035 $a(MiAaPQ)EBC5400118 035 $a(PPN)233899596 035 $a(EXLCZ)994100000003844708 100 $a20180613d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aComplexity of seismic time series $emeasurement and application /$fedited by Tamaz Chelidze, Filippos Vallianatos, Luciano Telesca 210 1$aAmsterdam, Netherlands :$cElsevier,$d[2018] 210 4$dİ2018 215 $a1 online resource (548 pages) 320 $aIncludes bibliographical references. 327 $aPart I. Complexity measurement in seismograms and natural and artificial time series of EQs (catalogs) -- Part II. Complexity of time series of stick-slip (models of seismic process) -- Part III. Complexity in earthquake generation and seismic hazard assessment. 330 $aComplexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. The book summarizes both advances and applications in the field, thus meeting the needs of both fundamental and practical seismology. Merging the needs of the classical field and the very modern terms of complexity science, this book covers theory and its application to advanced nonlinear time series tools to investigate Earth's vibrations, making it a valuable tool for seismologists, hazard managers and engineers. 606 $aSeismology$xStatistical methods 606 $aTime-series analysis 615 0$aSeismology$xStatistical methods. 615 0$aTime-series analysis. 676 $a551.220727 702 $aChelidze$b Tamaz 702 $aVallianatos$b Filippos 702 $aTelesca$b Luciano 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583330003321 996 $aComplexity of seismic time series$92231434 997 $aUNINA