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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-031.mrc:64920969:4376
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-031.mrc:64920969:4376?format=raw

LEADER: 04376cam a22007214a 4500
001 15076314
005 20211113231838.0
006 m o d
007 cr |n|||||||||
008 051214s2006 flua ob 001 0 eng c
035 $a(OCoLC)ocn435654158
035 $a(NNC)15076314
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016 7 $a018434703$2Uk
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020 $a1420011456$q(electronic bk.)
020 $a9781420011456$q(electronic bk.)
020 $z1584886447
020 $z9781584886440
024 7 $a10.1201/9781420011456$2doi
035 $a(OCoLC)435654158$z(OCoLC)74274958$z(OCoLC)171128073$z(OCoLC)276938064$z(OCoLC)507620331$z(OCoLC)647620407$z(OCoLC)738467439$z(OCoLC)899154854$z(OCoLC)992060497$z(OCoLC)995040570$z(OCoLC)1006800491$z(OCoLC)1031047851$z(OCoLC)1047547379$z(OCoLC)1065698417
037 $aTANDF_184390$bIngram Content Group
042 $apcc
050 4 $aTA330$b.A995 2006
072 7 $aTEC$x009000$2bisacsh
072 7 $aTEC$x035000$2bisacsh
082 04 $a620.001/51$222
049 $aZCUA
100 1 $aAyyub, Bilal M.
245 10 $aUncertainty modeling and analysis in engineering and the sciences /$cBilal M. Ayyub, George J. Klir.
260 $aBoca Raton, FL :$bChapman & Hall/CRC,$c2006.
300 $a1 online resource (378 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
347 $adata file$2rda
504 $aIncludes bibliographical references (pages 353-368) and index.
505 0 $aFront Cover; Preface; About the Authors; Books by the Authors; Acknowledgments; Contents; 1. Systems, Knowledge, and Ignorance; 2. Encoding Data and Expressing Information; 3. Uncertainty and Information Synthesis; 4. Uncertainty Measures; 5. Uncertainty-Based Principles and Knowledge Construction; 6. Uncertainty Propagation for Systems; 7. Expert Opinions and Elicitation Methods; 8. Visualization of Uncertainty; Appendices; Bibliography; Index.
520 $aEngineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge and ignorance, how to model and analyze uncertainty, and how to select appropriate analytical tools for particular problems. This volume covers primary components of ignorance and their impact on practice and decision making. It provides an overview of.
650 0 $aEngineering mathematics.
650 0 $aUncertainty$xMathematical models.
650 0 $aReliability (Engineering)
650 12 $aModels, Theoretical
650 12 $aUncertainty
650 22 $aEngineering
650 22 $aMathematics
650 22 $aReproducibility of Results
650 22 $aScience
650 6 $aMathématiques de l'ingénieur.
650 6 $aFiabilité.
650 6 $aIncertitude$xModèles mathématiques.
650 7 $aTECHNOLOGY & ENGINEERING$xEngineering (General)$2bisacsh
650 7 $aTECHNOLOGY & ENGINEERING$xReference.$2bisacsh
650 7 $aEngineering mathematics.$2fast$0(OCoLC)fst00910601
650 7 $aReliability (Engineering)$2fast$0(OCoLC)fst01093646
650 7 $aUncertainty$xMathematical models.$2fast$0(OCoLC)fst01160835
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aKlir, George J.,$d1932-
776 08 $iPrint version:Ayyub, Bilal M.$tUncertainty modeling and analysis in engineering and the sciences.$dBoca Raton, FL : Chapman & Hall/CRC, 2006$z1584886447$w(DLC) 2005056046$w(OCoLC)62742623
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15076314$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS