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008 161010t20162016flua ob 001 0 eng d
010 $a 2015045130
035 $a(OCoLC)ocn960210202
035 $a(NNC)16273053
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020 $a9781498720984$q(electronic bk. ;$qPDF)
020 $a1498720986$q(electronic bk. ;$qPDF)
020 $z9781498720960$q(alk. paper)
020 $z149872096X$q(alk. paper)
035 $a(OCoLC)960210202$z(OCoLC)960282764$z(OCoLC)960833754$z(OCoLC)961250391$z(OCoLC)962392782$z(OCoLC)964919618$z(OCoLC)966175365$z(OCoLC)967186396$z(OCoLC)972392415$z(OCoLC)972539041$z(OCoLC)996427800$z(OCoLC)999406815$z(OCoLC)1001274757$z(OCoLC)1050615145$z(OCoLC)1116008523$z(OCoLC)1170872210$z(OCoLC)1171190665
037 $a4711494$bProquest Ebook Central
050 4 $aQA279$b.F368 2016eb
072 7 $aMAT$x003000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
082 04 $a519.5/38$223
049 $aZCUA
100 1 $aFaraway, Julian James,$eauthor.
245 10 $aExtending the linear model with R :$bgeneralized linear, mixed effects and nonparametric regression models /$cJulian J. Faraway, University of Bath, UK.
250 $aSecond edition.
264 1 $aBoca Raton, FL :$bCRC Press, Taylor & Francis Group,$c[2016]
264 4 $c©2016
300 $a1 online resource (xiii, 394 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC Texts in Statistical Science Series
500 $a"A Chapman & Hall book."
504 $aIncludes bibliographical references (pages 385-394) and index.
520 $a"Start Analyzing a Wide Range of Problems Since the publication of the bestselling, highly recommended first edition, R has considerably expanded both in popularity and in the number of packages available. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition takes advantage of the greater functionality now available in R and substantially revises and adds several topics. New to the Second Edition Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available Updated coverage of splines and confidence bands in the chapter on nonparametric regression New material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 package Revised and expanded exercises with solutions now included Demonstrates the Interplay of Theory and Practice This textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses."
520 $a"New to the Second Edition: Expanded coverage of binary and binomial responses, including proportion responses, quasibinomial and beta regression, and applied considerations regarding these models New sections on Poisson models with dispersion, zero inflated count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random effects and repeated measures that reflect changes in the lme4 package and show how to perform hypothesis testing for the models using other methods New chapter on the Bayesian analysis of mixed effect models that illustrates the use of STAN and presents the approximation method of INLA Revised chapter on generalized linear mixed models to reflect the much richer choice of fitting software now available Updated coverage of splines and confidence bands in the chapter on nonparametric regression New material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 package Revised and expanded exercises with solutions now included Demonstrates the Interplay of Theory and Practice This textbook continues to cover a range of techniques that grow from the linear regression model. It presents three extensions to the linear framework: GLMs, mixed effect models, and nonparametric regression models. The book explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses."--Provided by publisher.
505 0 $aBinary response -- Binomial and proportion responses -- Variations on logistic regression -- Count regression -- Contingency tables -- Multinomial data -- Generalized linear models -- Other GLMs -- Random effects -- Repeated measures and longitudinal data -- Bayesian mixed effect models -- Mixed effect models for nonnormal responses -- Nonparametric regression -- Additive models -- Trees -- Neural networks.
588 0 $aPrint version record.
650 0 $aAnalysis of variance.
650 0 $aRegression analysis.
650 0 $aR (Computer program language)$xMathematical models.
650 2 $aAnalysis of Variance
650 2 $aRegression Analysis
650 6 $aAnalyse de variance.
650 6 $aAnalyse de régression.
650 6 $aR (Langage de programmation)$xModèles mathématiques.
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aAnalysis of variance.$2fast$0(OCoLC)fst00808330
650 7 $aRegression analysis.$2fast$0(OCoLC)fst01432090
655 4 $aElectronic books.
776 08 $iPrint version:$aFaraway, Julian James.$tExtending the linear model with R.$bSecond edition.$dBoca Raton : CRC Press, Taylor & Francis Group, [2016]$z9781498720960$w(DLC) 2015045130$w(OCoLC)931860686
830 0 $aTexts in statistical science.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio16273053$zAll EBSCO eBooks
852 8 $blweb$hEBOOKS