000725521 000__ 03124cam\a2200517Ii\4500 000725521 001__ 725521 000725521 005__ 20230306140643.0 000725521 006__ m\\\\\o\\d\\\\\\\\ 000725521 007__ cr\cn\nnnunnun 000725521 008__ 150206s2015\\\\sz\a\\\\o\\\\\101\0\eng\d 000725521 019__ $$a908064225 000725521 020__ $$a9783319138817$$qelectronic book 000725521 020__ $$a3319138812$$qelectronic book 000725521 020__ $$z9783319138800 000725521 0247_ $$a10.1007/978-3-319-13881-7$$2doi 000725521 035__ $$aSP(OCoLC)ocn902846464 000725521 035__ $$aSP(OCoLC)902846464$$z(OCoLC)908064225 000725521 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dDKU$$dN$T$$dUPM$$dIDEBK$$dCOO$$dOCLCF$$dE7B$$dEBLCP$$dOCLCO$$dYDXCP 000725521 049__ $$aISEA 000725521 050_4 $$aQA274.2 000725521 08204 $$a519.2/3$$223 000725521 1112_ $$aWorkshop on Stochastic Models, Statistics and Their Applications$$n(12th :$$d2015 :$$cWrocław, Poland) 000725521 24510 $$aStochastic models, statistics and their applications$$h[electronic resource] :$$bWrocław, Poland, February 2015 /$$cAnsgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski, editors. 000725521 264_1 $$aCham :$$bSpringer,$$c2015. 000725521 300__ $$a1 online resource (xx, 490 pages) :$$billustrations. 000725521 336__ $$atext$$btxt$$2rdacontent 000725521 337__ $$acomputer$$bc$$2rdamedia 000725521 338__ $$aonline resource$$bcr$$2rdacarrier 000725521 4901_ $$aSpringer Proceedings in Mathematics & Statistics,$$x2194-1009 ;$$vvolume 122 000725521 500__ $$aIncludes author index. 000725521 504__ $$aIncludes bibliographical references and index. 000725521 5050_ $$aPreliminary: Part I: Stochastic Models -- Part II: Statistics -- Part III: Applications. 000725521 506__ $$aAccess limited to authorized users. 000725521 520__ $$aThis volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few. This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland. 000725521 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 11, 2015). 000725521 650_0 $$aStochastic models$$vCongresses. 000725521 650_0 $$aStochastic processes$$vCongresses. 000725521 7001_ $$aSteland, Ansgar,$$eeditor. 000725521 7001_ $$aRafajłowicz, Ewaryst,$$eeditor. 000725521 7001_ $$aSzajowski, Krzysztof,$$eeditor. 000725521 77608 $$iPrint version:$$z9783319138800 000725521 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vvolume 122. 000725521 852__ $$bebk 000725521 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-13881-7$$zOnline Access$$91397441.1 000725521 909CO $$ooai:library.usi.edu:725521$$pGLOBAL_SET 000725521 980__ $$aEBOOK 000725521 980__ $$aBIB 000725521 982__ $$aEbook 000725521 983__ $$aOnline 000725521 994__ $$a92$$bISE