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010   $a981-10-8168-9
024 7 $a10.1007/978-981-10-8168-2
035   $a(CKB)4100000002892667
035   $a(MiAaPQ)EBC5358175
035   $a(DE-He213)978-981-10-8168-2
035   $a(PPN)225548844
035   $a(EXLCZ)994100000002892667
100   $a20180327d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aProceedings of the Pacific Rim Statistical Conference for Production Engineering $eBig Data, Production Engineering and Statistics /$fedited by Dongseok Choi, Daeheung Jang, Tze Leung Lai, Youngjo Lee, Ying Lu, Jun Ni, Peter Qian, Peihua Qiu, George Tiao
205   $a1st ed. 2018.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2018.
215   $a1 online resource (viii, 170 pages) $cillustrations
225 1 $aICSA Book Series in Statistics,$x2199-0980
311   $a981-10-8167-0 
327   $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.
330   $aThis book presents the proceedings of the 2nd Pacific Rim Statistical Conference for Production Engineering: Production Engineering, Big Data and Statistics, which took place at Seoul National University in Seoul, Korea in December, 2016. The papers included discuss a wide range of statistical challenges, methods and applications for big data in production engineering, and introduce recent advances in relevant statistical methods.
410  0$aICSA Book Series in Statistics,$x2199-0980
606   $aStatistics 
606   $aBig data
606   $aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17020
606   $aBig Data/Analytics$3https://scigraph.springernature.com/ontologies/product-market-codes/522070
615  0$aStatistics .
615  0$aBig data.
615 14$aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
615 24$aBig Data/Analytics.
676   $a658.5
702   $aChoi$b Dongseok$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aJang$b Daeheung$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLai$b Tze Leung$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLee$b Youngjo$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aLu$b Ying$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aNi$b Jun$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aQian$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aQiu$b Peihua$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aTiao$b George$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910300104003321
996   $aProceedings of the Pacific Rim Statistical Conference for Production Engineering$91563899
997   $aUNINA