MARC Record from marc_nuls

LEADER: 01912cam 2200325 a 4500
001 9920518620001661
005 20150423130417.0
008 961204s1997 caua b 001 0 eng
010 $a 96038084
015 $aGB97-37484
019 $a36989360
020 $a080394540X (alk. paper)
035 $a(CSdNU)u63101-01national_inst
035 $a(OCoLC)36065974
035 $a(Sirsi) 01-AAG-7442
040 $aDLC$cDLC$dUKM$dNLC
049 $aCNUM
050 00 $aHA31.3$b.F69 1997
100 1 $aFox, John,$d1947-
245 10 $aApplied regression analysis, linear models, and related methods / $cJohn Fox.
246 30 $aApplied regression analysis
260 $aThousand Oaks, Calif. :$bSage Publications,$cc1997.
300 $axxi, 597 p. :$bill. ;$c26 cm.
504 $aIncludes bibliographical references and index.
505 0 $a Preliminaries. Statistics and social science -- What is regression analysis? -- Examining data -- Transforming data -- Linear models and least squares. Linear least-squares regression -- Statistical inference for regression -- Dummy-variable regression -- Analysis of variance -- Statistical theory for linear models -- The vector geometry of linear models -- Linear-model diagnostics. Unusual and influential data -- Diagnosing nonlinearity, nonconstant error variance, and nonnormality -- Collinearity and its purported remedies -- Beyond linear least squares. Extending linear least squares: time series, nonlinear, robust, and nonparametric regression -- Logit and probit models -- Assessing sampling variation: bootstrapping and cross-validation.
650 0 $aRegression analysis.
650 0 $aLinear models (Statistics)
650 0 $aSocial sciences$xStatistical methods.
948 $a10/13/1999$b10/13/1999
999 $aHA 31.3 F69 1997$wLC$c1$i31786100960993$d4/5/2011$e4/28/2005 $f3/2/2004$g1$lCIRCSTACKS$mNULS$n2$q1$rY$sY$tBOOK$u2/6/1998$o.STAFF. Pieces: 00001