MARC Record from marc_columbia

LEADER: 02194cam a2200361Ii 4500
001 12482639
005 20170522150416.0
008 170329t20172017dcua b 000 0 eng d
020 $a9780309454445
020 $a0309454441
035 $a(OCoLC)ocn979992569
035 $a(OCoLC)979992569
035 $a(NNC)12482639
040 $aTKN$beng$erda$cTKN
050 4 $aQA76.9.B45$bW46 2017
100 1 $aWender, Ben A.,$erapporteur.
245 10 $aRefining the concept of scientific inference when working with big data :$bproceedings of a workshop /$cBen A. Wender, rapporteur ; Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and their Applications, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine.
264 1 $aWashington, DC :$bthe National Academies Press,$c[2017]
264 4 $c©2017.
300 $axii, 101 pages :$bcolor illustrations ;$c26 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references (pages 69-73).
505 0 $aIntroduction -- Framing the workshop -- Inference about discoveries based on integration of diverse data sets -- Inference about casual discoveries driven by large observational data -- Inference when regularization is used to simplify fitting of high-dimensional models -- Panel discussion -- References -- Appendixes.
650 0 $aBig data$vCongresses.
650 0 $aMathematical statistics$vCongresses.
650 0 $aScience$xMethodology$vCongresses.
650 0 $aExperimental design$vCongresses.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bCommittee on Applied and Theoretical Statistics,$eissuing body.
711 2 $aRefining the Concept of Scientific Inference When Working with Big Data (Workshop)$d(2016 :$cWashington, D.C.)
776 08 $iOnline version:$aWender, Ben A.$tRefining the concept of scientific inference when working with big data : proceedings of a workshop.$dWashington, DC : National Academies Press, 2017$z9780309454452$z0309454441$w(OCoLC)974583846
852 00 $boff,sci$hQA76.9.B45$iW46 2017g