LEADER 02458nam 22004695 450 001 9910767563903321 005 20251116190735.0 010 $a3-319-78768-3 024 7 $a10.1007/978-3-319-78768-8 035 $a(CKB)3810000000358845 035 $a(DE-He213)978-3-319-78768-8 035 $a(MiAaPQ)EBC6312371 035 $a(PPN)229496296 035 $a(EXLCZ)993810000000358845 100 $a20180621d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGeneralized Stochastic Processes $eModelling and Applications of Noise Processes /$fby Stefan Schäffler 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2018. 215 $a1 online resource (XV, 183 p. 69 illus., 1 illus. in color.) 225 1 $aCompact Textbooks in Mathematics,$x2296-4568 311 08$a3-319-78767-5 327 $aGeneralized Functions -- Stochastic Processes -- Stochastic Differential Equations -- Generalized Random Fields. 330 $aThis textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstanding role in noise modelling. Secondly, this textbook is a guide to noise modelling for mathematicians and engineers to foster the interdisciplinary discussion between mathematicians (to provide effective noise models) and engineers (to be familiar with the mathematical background of noise modelling in order to handle noise models in an optimal way). Two appendices on "A Short Course in Probability Theory" and "Spectral Theory of Stochastic Processes" plus a well-chosen set of problems and solutions round this compact textbook off. 410 0$aCompact Textbooks in Mathematics,$x2296-4568 606 $aProbabilities 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 615 0$aProbabilities. 615 14$aProbability Theory and Stochastic Processes. 676 $a519.2 700 $aScha?ffler$b Stefan$4aut$4http://id.loc.gov/vocabulary/relators/aut$00 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767563903321 996 $aGeneralized Stochastic Processes$91564747 997 $aUNINA