Record ID | marc_columbia/Columbia-extract-20221130-027.mrc:119416823:6072 |
Source | marc_columbia |
Download Link | /show-records/marc_columbia/Columbia-extract-20221130-027.mrc:119416823:6072?format=raw |
LEADER: 06072cam a22008534a 4500
001 13309546
005 20190429115627.0
008 060414s2007 enka b 001 0 eng
010 $a 2006040566
015 $aGBA681948$2bnb
016 7 $a013562844$2Uk
019 $a71808158$a84913260$a251704407$a457511003
020 $a9780521867061
020 $a0521867061
020 $a9780521686891$q(pbk.)
020 $a052168689X$q(pbk.)
024 3 $a9780521686891
035 $a(OCoLC)ocm67375137
035 $a(OCoLC)67375137$z(OCoLC)71808158$z(OCoLC)84913260$z(OCoLC)251704407$z(OCoLC)457511003
035 $a(NNC)13309546
040 $aDLC$beng$cDLC$dBAKER$dBTCTA$dC#P$dYDX$dYDXCP$dIXA$dUKM$dNLGGC$dOCLCG$dMUQ$dCOO$dIG#$dMNW$dAGL$dHEBIS$dDEBBG$dOCLCQ$dOCL$dUBY$dTPH$dBDX$dOCLCF$dOCLCQ$dOCLCO$dUBA$dVVL$dBEDGE$dS3O$dDEBSZ$dOCLCQ$dEQF$dGZN$dLIP$dCTU$dDHA$dOCLCQ$dKIJ$dOCLCO$dOCLCQ$dOCLCO$dCSJ$dOCLCQ$dGILDS
042 $apcc
050 00 $aHA31.3$b.G45 2007
070 0 $aHA31.3$b.G45 2007
082 00 $a519.5/36$222
084 $a70.03$2bcl
084 $aCM 4000$2rvk
084 $aQH 234$2rvk
084 $aSK 840$2rvk
084 $aMAT 628f$2stub
084 $a519.536$bGEL$2z
100 1 $aGelman, Andrew.
245 10 $aData analysis using regression and multilevel/hierarchical models /$cAndrew Gelman, Jennifer Hill.
246 30 $aData analysis using regression and multilevel models
246 30 $aData analysis using regression and hierarchical models
260 $aCambridge ;$aNew York :$bCambridge University Press,$c2007.
300 $axxii, 625 pages :$billustrations ;$c26 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aAnalytical methods for social research
504 $aIncludes bibliographical references (pages 575-600) and indexes.
505 0 $aWhy? -- Concepts and methods from basic probability and statistics -- Single-Level Regression. Linear regression : the basics -- Linear regression : before and after fitting the model -- Logistic regression -- Generalized linear models -- Working with Regression Interfaces. Simulation of probability models and statistical inferences -- Simulation for checking statistical procedures and model fits -- Causal inference using regression on the treatment variable -- Causal inference using more advanced models -- Multilevel Regression. Multilevel structures -- Multilevel linear models : the basics -- Multilevel linear models : varying slopes, non-nested models, and other complexities -- Multilevel logistic regression -- Multilevel generalized linear models.
505 0 $aFitting Multilevel Models. Multilevel modeling Bugs and R : the basics -- Fitting multilevel linear and generalized linear models in Bugs and R -- Likelihood and Bayesian inference and computation -- Debugging and speeding convergence -- From Data Collection to Model Understanding to Model Checking. Sample size and power calculations -- Understanding and summarizing the fitted models -- Analysis of variance -- Causal inference using multilevel models -- Model checking and comparison -- Missing-data imputation -- Appendices: Six quick tips to improve your regression modeling ; Statistical graphics for research and presentation ; Software.
520 $a"Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout"--Publisher description.
650 0 $aRegression analysis.
650 0 $aMultilevel models (Statistics)
650 6 $aAnalyse de régression.
650 6 $aModèles multiniveaux (Statistique)
650 7 $astatistical methods.$2agrovoc
650 7 $adata analysis.$2agrovoc
650 7 $aMéthodes statistiques.$2eclas
650 7 $aAnalyse statistique.$2eclas
650 7 $aMultilevel models (Statistics)$2fast$0(OCoLC)fst01028902
650 7 $aRegression analysis.$2fast$0(OCoLC)fst01432090
650 17 $aRegressieanalyse.$2gtt
650 17 $aMultiniveau-analyse.$2gtt
650 7 $aRegressionsanalyse$2gnd$0(DE-588)4129903-6
650 7 $aAnálise de regressão e de correlação.$2larpcal
650 7 $aMultivariat analys.$2sao
650 7 $aRegressionsanalys.$2sao
650 7 $aMatematisk statistik.$2sao
650 02 $aStatistics as Topic.
650 02 $aData Interpretation, Statistical.
700 1 $aHill, Jennifer,$d1969-
830 0 $aAnalytical methods for social research.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/enhancements/fy0668/2006040566-t.html
856 41 $3Table of contents$uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015428351&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856 41 $3Table of contents$uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015428351&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856 41 $3Table of contents$uhttp://www.gbv.de/dms/ilmenau/toc/527420107.PDF$zKostenfrei
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/enhancements/fy0733/2006040566-b.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/enhancements/fy0668/2006040566-d.html
852 00 $bleh$hHA31.3$i.G45 2007
852 00 $bglx$hHA31.3$i.G45 2007