| Record ID | marc_columbia/Columbia-extract-20221130-030.mrc:188280900:3907 |
| Source | marc_columbia |
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LEADER: 03907cam a2200625 i 4500
001 14916986
005 20220514231600.0
006 m o d
007 cr |||||||||||
008 010817s2002 flua ob 001 0 eng d
035 $a(OCoLC)ocn317751780
035 $a(NNC)14916986
040 $aCASUM$beng$epn$cCASUM$dUV0$dOCLCQ$dTULIB$dOCLCF$dCRCPR$dOCLCO$dYDXCP$dOCLCQ$dUAB$dU3W$dERL$dOCLCQ$dLEAUB$dOL$$dTYFRS$dOCLCO$dTYFRS$dOCLCQ$dOCLCO
019 $a779913595$a1031040352$a1102531987
020 $a1584881658$q(pbk. ;$qalk. paper)
020 $a9781584881650$q(pbk. ;$qalk. paper)
020 $a9781420057683$q(e-book)
020 $a1420057685$q(e-book)
020 $a9781000205633$q(electronic bk. ;$qMobipocket)
020 $a1000205630$q(electronic bk. ;$qMobipocket)
020 $a9781000205664$q(electronic bk. ;$qEPUB)
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035 $a(OCoLC)317751780$z(OCoLC)779913595$z(OCoLC)1031040352$z(OCoLC)1102531987
037 $a9781420057683$bTaylor & Francis
050 4 $aQA276$b.D589 2002eb
072 7 $aMAT$x029000$2bisacsh
072 7 $aPBT$2bicssc
082 04 $a519.5/35$221
049 $aZCUA
100 1 $aDobson, Annette J.,$d1945-
245 13 $aAn Introduction to generalized linear models /$cAnnette J. Dobson.
250 $a2nd ed.
260 $aBoca Raton :$bChapman & Hall/CRC,$c©2002.
300 $a1 online resource (computer files (vii, 225 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC texts in statistical science series
504 $aIncludes bibliographical references (pages 215-219) and index.
520 $aGeneralized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models. Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy and examples from an even wider range of application. Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling.
650 0 $aLinear models (Statistics)
650 12 $aLinear Models
650 6 $aModèles linéaires (Statistique)
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aLinear models (Statistics)$2fast$0(OCoLC)fst00999084
655 4 $aFulltext.
655 4 $aInternet Resource.
655 4 $aIllustration.
655 4 $aElectronic books.
776 08 $iPrint version:$aDobson, Annette J., 1945-$tIntroduction to generalized linear models.$b2nd ed.$dBoca Raton : Chapman & Hall/CRC, ©2002$w(DLC) 2001047417
830 0 $aTexts in statistical science.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio14916986$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS