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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-005.mrc:194639827:3031
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-005.mrc:194639827:3031?format=raw

LEADER: 03031mam a2200409 a 4500
001 2144028
005 20220615213953.0
008 970610t19981998nyua b 001 0 eng
010 $a 97017969
015 $aGB98-44355
020 $a0471170828 (acid-free paper)
035 $a(OCoLC)ocm37141097
035 $9ANK3963CU
035 $a(NNC)2144028
035 $a2144028
040 $aDLC$cDLC$dUKM$dOrLoB-B
050 00 $aQA278.2$b.D7 1998
082 00 $a519.5/36$221
100 1 $aDraper, Norman Richard.$0http://id.loc.gov/authorities/names/n80080202
245 10 $aApplied regression analysis /$cNorman R. Draper, Harry Smith.
250 $a3rd ed.
260 $aNew York :$bWiley,$c[1998], ©1998.
300 $axvii, 706 pages :$billustrations ;$c26 cm +$e1 computer disc (3 1/2 in).
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aWiley series in probability and statistics. Texts and references section
538 $aSystem requirements for accompanying computer disk: Windows 3.1.
500 $a"A Wiley-Interscience publication."
504 $aIncludes bibliographical references and indexes.
505 00 $g0.$tBasic Prerequisite Knowledge --$g1.$tFitting a Straight Line by Least Squares --$g2.$tChecking the Straight Line Fit --$g3.$tFitting Straight Lines: Special Topics --$g4.$tRegression in Matrix Terms: Straight Line Case --$g5.$tThe General Regression Situation --$g6.$tExtra Sums of Squares and Tests for Several Parameters Being Zero --$g7.$tSerial Correlation in the Residuals and the Durbin-Watson Test --$g8.$tMore on Checking Fitted Models --$g9.$tMultiple Regression: Special Topics --$g10.$tBias in Regression Estimates, and Expected Values of Mean Squares and Sums of Squares --$g11.$tOn Worthwhile Regressions, Big F's, and R[superscript 2] --$g12.$tModels Containing Functions of the Predictors, Including Polynomial Models --$g13.$tTransformation of the Response Variable --$g14.$t"Dummy" Variables --$g15.$tSelecting the "Best" Regression Equation --$g16.$tIll-Conditioning in Regression Data --$g17.$tRidge Regression --$g18.$tGeneralized Linear Models (GLIM) --
505 80 $g19.$tMixture Ingredients as Predictor Variables --$g20.$tThe Geometry of Least Squares --$g21.$tMore Geometry of Least Squares --$g22.$tOrthogonal Polynomials and Summary Data --$g23.$tMultiple Regression Applied to Analysis of Variance Problems --$g24.$tAn Introduction to Nonlinear Estimation --$g25.$tRobust Regression --$g26.$tResampling Procedures (Bootstrapping).
650 0 $aRegression analysis.$0http://id.loc.gov/authorities/subjects/sh85112392
700 1 $aSmith, Harry,$d1923-2012.$0http://id.loc.gov/authorities/names/n90608564
830 0 $aWiley series in probability and statistics.$pTexts and references section.$0http://id.loc.gov/authorities/names/n97038393
852 00 $bglg$hQA278.2$i.D7 1998$zAccompanied by 1 computer diskette.
852 00 $boff,bus$hQA278.2$i.D7 1998
852 00 $bmat$hQA278.2$i.D7 1998$zAccompanied by 1 computer diskette.