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01975aam a2200325Ii 4500 001 04FCF944621111E7BC2B04C5DAD10320 003 SILO 005 20170706010219 008 170329t20172017dcua b 000 0 eng d 020 $a 0309454441 020 $a 9780309454445 035 $a (OCoLC)979992569 040 $a TKN $b eng $e rda $c TKN $d OCLCF $d OCLCO $d STF $d IWA $d SILO 050 4 $a QA76.9 B45 W46x 2017 100 1 $a Wender, Ben A., $e rapporteur. 245 10 $a Refining the concept of scientific inference when working with big data : $b proceedings of a workshop / $c Ben 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 $a Washington, DC : $b the National Academies Press, $c [2017] 300 $a xii, 101 pages : $b color illustrations ; $c 26 cm 504 $a Includes bibliographical references (pages 69-73). 505 0 $a Introduction -- 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 $a Big data $v Congresses. 650 0 $a Mathematical statistics $v Congresses. 650 0 $a Science $x Methodology $v Congresses. 650 0 $a Experimental design $v Congresses. 710 2 $a National Academies of Sciences, Engineering, and Medicine (U.S.). $b Committee on Applied and Theoretical Statistics, $e issuing body. 711 2 $a Refining the Concept of Scientific Inference When Working with Big Data (Workshop) $d (2016 : $c Washington, D.C.) 941 $a 2 952 $l OVUX522 $d 20191211023226.0 952 $l USUX851 $d 20170802024617.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=04FCF944621111E7BC2B04C5DAD10320Initiate Another SILO Locator Search