MARC Record from Library of Congress

LEADER: 02430cam a2200349 i 4500
001 2013016237
003 DLC
005 20140430081126.0
008 130610s2013 flu b 001 0 eng
010 $a 2013016237
020 $a9781466551732 (hardback)
040 $aDLC$beng$cDLC$erda$dDLC
042 $apcc
050 00 $aQA279$b.S645 2014
082 00 $a511.3/26$223
084 $aMAT029000$2bisacsh
100 1 $aSmithson, Michael,$eauthor.
245 10 $aGeneralized linear models for categorical and continuous limited dependent variables /$cMichael Smithson, Edgar C. Merkle.
264 1 $aBoca Raton :$bCRC Press,$c[2014]
300 $axxiii, 284 pages ;$c24 cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
490 0 $aStatistics in the social and behavioral sciences
520 $a"Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or continuous limited dependent variables have restricted support, whether through censorship or truncation or by their nature. The book incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous variables, such as percentages. "--$cProvided by publisher.
520 $a"This book is devoted to dependent variables other than those for which linear regression is appropriate. The authors argue that such dependent variables are, if anything, more common throughout the human sciences than the kind that suit linear regression. Presenting a broader but unified coverage in which the authors attempt to integrate concepts and ideas shared across models and types of data broader but unified coverage in which we attempt to integrate the concepts and ideas shared across models and types of data, especially regarding conceptual links between discrete and continuous limited dependent variables"--$cProvided by publisher.
504 $aIncludes bibliographical references (pages 261-274) and indexes.
650 0 $aVariables (Mathematics)
650 0 $aLinear models (Statistics)
650 0 $aMathematical constants.
650 7 $aMATHEMATICS / Probability & Statistics / General.$2bisacsh
700 1 $aMerkle, Edgar C.,$d1978-$eauthor.