000827260 000__ 02904cam\a2200481Ii\4500 000827260 001__ 827260 000827260 005__ 20230306144605.0 000827260 006__ m\\\\\o\\d\\\\\\\\ 000827260 007__ cr\cn\nnnunnun 000827260 008__ 180403s2018\\\\si\\\\\\o\\\\\100\0\eng\d 000827260 019__ $$a1033656964$$a1034544283 000827260 020__ $$a9789811081682$$q(electronic book) 000827260 020__ $$a9811081689$$q(electronic book) 000827260 020__ $$z9789811081675 000827260 0247_ $$a10.1007/978-981-10-8168-2$$2doi 000827260 035__ $$aSP(OCoLC)on1030303354 000827260 035__ $$aSP(OCoLC)1030303354$$z(OCoLC)1033656964$$z(OCoLC)1034544283 000827260 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dGW5XE$$dN$T$$dFIE$$dOCLCF$$dEBLCP$$dUPM 000827260 049__ $$aISEA 000827260 050_4 $$aTS176 000827260 08204 $$a670.72/7$$223 000827260 1112_ $$aPacific Rim Statistical Conference for Production Engineering$$n(2nd :$$d2016 :$$cSeoul, Korea) 000827260 24510 $$aProceedings of the Pacific Rim Statistical Conference for Production Engineering :$$bbig data, production engineering and statistics /$$cDongseok Choi, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao, editors. 000827260 264_1 $$aSinagpore :$$bSpringer,$$c2018. 000827260 300__ $$a1 online resource. 000827260 336__ $$atext$$btxt$$2rdacontent 000827260 337__ $$acomputer$$bc$$2rdamedia 000827260 338__ $$aonline resource$$bcr$$2rdacarrier 000827260 347__ $$atext file$$bPDF$$2rda 000827260 4901_ $$aICSA book series in statistics,$$x2199-0980 000827260 5050_ $$aSection 1: Design and Collection of Big Data -- Section 2: Analytic Methods of Big Data -- Section 3: Operation/Production Decision Making -- Section 4 Reliability and Health Management.-Section 5: Statistical Theories Related with the Big Data -- Section 6: Recent Advances in Statistical Methods -- Section 7: Development of Statistical Software for the Big Data -- Section 8: Big Data and Its Application to Industry -- Section 9: Big Data and Its Application to Industry. 000827260 506__ $$aAccess limited to authorized users. 000827260 520__ $$aThis book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.--$$cProvided by publisher. 000827260 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 3, 2018). 000827260 650_0 $$aProduction engineering$$xStatistical methods$$vCongresses. 000827260 650_0 $$aBig data$$vCongresses. 000827260 7001_ $$aChoi, Dongseok,$$eeditor. 000827260 77608 $$iPrint version: $$z9789811081675 000827260 830_0 $$aICSA book series in statistics. 000827260 852__ $$bebk 000827260 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-8168-2$$zOnline Access$$91397441.1 000827260 909CO $$ooai:library.usi.edu:827260$$pGLOBAL_SET 000827260 980__ $$aEBOOK 000827260 980__ $$aBIB 000827260 982__ $$aEbook 000827260 983__ $$aOnline 000827260 994__ $$a92$$bISE