LEADER 01215nas 2200457- 450 001 996215322803316 005 20240118213020.0 035 $a(DE-599)ZDB2834872-2 035 $a(OCoLC)891553431 035 $a(CKB)3710000000239865 035 $a(CONSER)--2015247798 035 $a(EXLCZ)993710000000239865 100 $a20140925b20142021 --- - 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman pathology $ecase reports 210 1$a[New York] :$cElsevier Inc.,$d[2014-2021] 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 $a2214-3300 517 1 $aHPCR 531 10$aHum Pathol (N Y) 606 $aPathology$vPeriodicals 606 $aPathology 606 $aPathology$2fast$3(OCoLC)fst01054964 608 $aCase Reports. 608 $aPeriodical. 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 610 $aPathology 615 0$aPathology 615 12$aPathology. 615 7$aPathology. 676 $a616.07 906 $aJOURNAL 912 $a996215322803316 996 $aHuman pathology$9796152 997 $aUNISA LEADER 03887nam 2200661 a 450 001 9911019414503321 005 20200520144314.0 010 $a9786611094188 010 $a9781281094186 010 $a1281094188 010 $a9780470182833 010 $a0470182830 010 $a9780470182826 010 $a0470182822 035 $a(CKB)1000000000377290 035 $a(EBL)319287 035 $a(OCoLC)476115993 035 $a(SSID)ssj0000219944 035 $a(PQKBManifestationID)11186937 035 $a(PQKBTitleCode)TC0000219944 035 $a(PQKBWorkID)10155610 035 $a(PQKB)10358375 035 $a(MiAaPQ)EBC319287 035 $a(Perlego)2765803 035 $a(EXLCZ)991000000000377290 100 $a20070330d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPeriodically correlated random sequences $espectral theory and practice /$fHarry L. Hurd, Abolghassem Miamee 210 $aHoboken, N.J. $cWiley-Interscience$dc2007 215 $a1 online resource (382 p.) 225 1 $aWiley series in probability and statistics 300 $aIncludes bibliographical references (p. 337-350) and index. 311 08$a9780471347712 311 08$a047134771X 330 8 $aUniquely combining theory, application, and computing, this bookexplores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary)processes has become increasingly popular in a range of researchareas such as meteorology, climate, communications, economics, andmachine diagnostics. Periodically Correlated Random Sequencespresents the main ideas of these processes through the use of basicdefinitions along with motivating, insightful, and illustrativeexamples. Extensive coverage of key concepts is provided, includingsecond-order theory, Hilbert spaces, Fourier theory, and thespectral theory of harmonizable sequences. The authors also providea paradigm for nonparametric time series analysis including testsfor the presence of PC structures. Features of the book include: * An emphasis on the link between the spectral theory of unitaryoperators and the correlation structure of PC sequences * A discussion of the issues relating to nonparametric time seriesanalysis for PC sequences, including estimation of the mean, correlation, and spectrum * A balanced blend of historical background with modernapplication-specific references to periodically correlatedprocesses * An accompanying Web site that features additional exercises aswell as data sets and programs written in MATLABŪ forperforming time series analysis on data that may have a PCstructure Periodically Correlated Random Sequences is an ideal text ontime series analysis for graduate-level statistics and engineeringstudents who have previous experience in second-order stochasticprocesses (Hilbert space), vector spaces, random processes, andprobability. This book also serves as a valuable reference forresearch statisticians and practitioners in areas of probabilityand statistics such as time series analysis, stochastic processes, and prediction theory. 410 0$aWiley series in probability and statistics. 606 $aSpectral theory (Mathematics) 606 $aSequences (Mathematics) 606 $aCorrelation (Statistics) 606 $aStochastic processes 615 0$aSpectral theory (Mathematics) 615 0$aSequences (Mathematics) 615 0$aCorrelation (Statistics) 615 0$aStochastic processes. 676 $a515/.24 700 $aHurd$b Harry L$g(Harry Lee),$f1940-$01839984 701 $aMiamee$b Abolghassem$f1944-$01839985 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019414503321 996 $aPeriodically correlated random sequences$94419435 997 $aUNINA