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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-007.mrc:202932449:2862
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-007.mrc:202932449:2862?format=raw

LEADER: 02862mam a2200397 a 4500
001 3174849
005 20221020001936.0
008 010817t20022002flua b 001 0 eng
010 $a 2001047417
020 $a1584881658 (alk. paper)
035 $a(OCoLC)ocm47922851
035 $9AUB7001CU
035 $a(NNC)3174849
035 $a3174849
040 $aDLC$cDLC$dC#P$dOrLoB-B$dNNC-M
050 00 $aQA276$b.D589 2002
082 00 $a519.5/35$221
100 1 $aDobson, Annette J.,$d1945-$0http://id.loc.gov/authorities/names/n82217843
245 13 $aAn introduction to generalized linear models /$cAnnette J. Dobson.
250 $a2nd ed.
260 $aBoca Raton, Fla. :$bChapman & Hall/CRC,$c[2002], ©2002.
300 $avii, 225 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aChapman & Hall/CRC texts in statistical science series
504 $aIncludes bibliographical references (p. [215]-219) and index.
505 00 $g1.$tIntroduction --$g2.$tModel Fitting --$g3.$tExponential Family and Generalized Linear Models --$g4.$tEstimation --$g5.$tInference --$g6.$tNormal Linear Models --$g7.$tBinary Variables and Logistic Regression --$g8.$tNominal and Ordinal Logistic Regression --$g9.$tCount Data, Poisson Regression and Log-Linear Models --$g10.$tSurvival Analysis --$g11.$tClustered and Longitudinal Data.
520 1 $a"An Introduction to Generalized Linear Models, Second Edition initiates 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 those in survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multi-level models. It also includes modern methods for checking model adequacy.".
520 8 $a"The text assumes a working knowledge of basic statistical concepts and methods and an acquaintance with calculus and matrix algebra. It emphasizes graphical methods for exploratory data analysis, visualizing numerical optimization, and plotting residuals, and now includes examples from a wider range of application areas, including business, medicine, agriculture, biology, engineering, and the social sciences. Data sets and outline solutions to exercises are available on the internet."--BOOK JACKET.
650 0 $aLinear models (Statistics)$0http://id.loc.gov/authorities/subjects/sh85077177
650 12 $aLinear Models.$0https://id.nlm.nih.gov/mesh/D016014
650 22 $aStatistics as Topic.$0https://id.nlm.nih.gov/mesh/D013223
830 0 $aTexts in statistical science.$0http://id.loc.gov/authorities/names/n94038042
852 00 $bmat$hQA276$i.D589 2002
852 00 $bmat$hQA276$i.D589 2002
852 00 $bhsl,stx$hQA276$i.D589 2002