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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-005.mrc:55270361:1457
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-005.mrc:55270361:1457?format=raw

LEADER: 01457mam a2200277 a 4500
001 2046013
005 20220615192439.0
008 970708t19971997nyu b 001 0 eng d
020 $a0471184993 (pbk.)
035 $a(OCoLC)ocm37255377
035 $9AMS6007CU
035 $a(NNC)2046013
035 $a2046013
040 $aEUN$cEUN$dAZU$dNNC$dOrLoB-B
100 1 $aSearle, S. R.$q(Shayle R.),$d1928-$0http://id.loc.gov/authorities/names/n79108945
245 10 $aLinear models /$cS. R. Searle.
260 $aNew York :$bWiley,$c[1997], ©1997.
300 $axxi, 532 pages :$billustrations ;$c23 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley classics library
504 $aIncludes bibliographical references (p. 515-522) and index.
505 00 $g1.$tGeneralized Inverse Matrices --$g2.$tDistributions and Quadratic Forms --$g3.$tRegression, or the Full Rank Model --$g4.$tIntroducing Linear Models: Regression on Dummy Variables --$g5.$tModels Not of Full Rank --$g6.$tTwo Elementary Models --$g7.$tThe 2-Way Crossed Classification --$g8.$tSome Other Analyses --$g9.$tIntroduction to Variance Components --$g10.$tMethods of Estimating Variance Components from Unbalanced Data --$g11.$tVariance Component Estimation from Unbalanced Data: Formulae.
650 0 $aLinear models (Statistics)$0http://id.loc.gov/authorities/subjects/sh85077177
830 0 $aWiley classics library.
852 00 $bmat$hQA279$i.S4 1997g