LEADER 02862nam 2200661I 450 001 9910970875503321 005 20230801234504.0 010 $a9781040161425 010 $a1040161421 010 $a9780429097980 010 $a0429097980 010 $a9781466557802 010 $a146655780X 035 $a(CKB)3710000000391119 035 $a(EBL)1438165 035 $a(SSID)ssj0001460040 035 $a(PQKBManifestationID)12590069 035 $a(PQKBTitleCode)TC0001460040 035 $a(PQKBWorkID)11464577 035 $a(PQKB)11610380 035 $a(Au-PeEL)EBL1438165 035 $a(CaPaEBR)ebr11165894 035 $a(OCoLC)908077353 035 $a(OCoLC)1053503453 035 $a(FINmELB)ELB142806 035 $a(MiAaPQ)EBC1438165 035 $a(EXLCZ)993710000000391119 100 $a20180611d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStationary stochastic processes $etheory and applications /$fby Georg Lindgren 205 $aFirst edition. 210 1$aBoca Raton, FL :$cChapman and Hall/CRC, an imprint of Taylor and Francis,$d2012. 215 $a1 online resource (367 p.) 225 1 $aChapman & Hall/CRC Texts in Statistical Science Series 300 $a"A Chapman & Hall Book." 311 08$a9781466557796 311 08$a1466557796 320 $aIncludes bibliographical references. 327 $aFront Cover; Dedication; Contents; List of figures; Preface; Acknowledgments; List of notations; 1. Some probability and process background; 2. Sample function properties; 3. Spectral representations; 4. Linearfilters - general properties; 5. Linearfilters - special topics; 6. Classical ergodic theory and mixing; 7. Vector processes and random fields; 8. Level crossings and excursions; A. Some probability theory; B. Spectral simulation of random processes; C. Commonly used spectra; D. Solutions and hints to selected exercises; Bibliography 330 3 $aIntended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field?s widely scattered applications in engineering and science. In addition, it reviews sample function properties and spectral representations for stationary processes and fields, including a portion on stationary point processes. 410 0$aTexts in statistical science. 606 $aStationary processes 606 $aStochastic analysis 615 0$aStationary processes. 615 0$aStochastic analysis. 676 $a519.2/2 686 $aMAT029000$aMAT029010$2bisacsh 700 $aLindgren$b Georg$f1940-$0491608 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910970875503321 996 $aStationary stochastic processes$94334569 997 $aUNINA