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Añadir al carritoHardcover. Condición: Good. 2nd Edition.
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Publicado por Chapman and Hall/CRC (edition 2), 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
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Publicado por Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
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Añadir al carritoCondición: New. . 2016. 2nd Edition. Hardcover. . . . .
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Idioma: Inglés
Publicado por Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
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Añadir al carritoBook/CD-ROM. Condición: Brand New. 2nd revised edition. 416 pages. 9.50x6.50x1.00 inches. In Stock.
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Publicado por Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
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Añadir al carritoCondición: New. pp. 417.
Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoHardback. Condición: New. 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 EditionExpanded 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 methodsNew 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 availableUpdated coverage of splines and confidence bands in the chapter on nonparametric regressionNew material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 packageRevised and expanded exercises with solutions now includedDemonstrates the Interplay of Theory and PracticeThis 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.
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Añadir al carritoCondición: New. . 2016. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
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Añadir al carritohardcover. Condición: Sehr gut. Gebraucht - Sehr gut SG -leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - 2nd edition.
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Añadir al carritoCondición: New. Julian J. Faraway is a professor of statistics in the Department of Mathematical Sciences at the University of Bath. His research focuses on the analysis of functional and shape data with particular application to the modeling of human m.
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Añadir al carritoBuch. Condición: Neu. Neuware - This second edition of a bestseller takes advantage of the greater functionality now available in R and substantially revises and adds several topics. It expands coverage of binary and binomial responses, incorporates many new sections, and adds a chapter on the Bayesian analysis of mixed effect models. It also revamps the R code throughout and updates the exercises, with solutions now included. The text explains data analysis using real examples and includes all the R commands necessary to reproduce the analyses.
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Añadir al carritoHardcover. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Añadir al carritoBuch. Condición: Neu. Extending the Linear Model with R | Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition | Julian J Faraway | Buch | Einband - fest (Hardcover) | Englisch | 2016 | CRC Press | EAN 9781498720960 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Taylor and Francis Inc, US, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Librería: Rarewaves.com UK, London, Reino Unido
EUR 150,21
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Añadir al carritoHardback. Condición: New. 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 EditionExpanded 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 methodsNew 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 availableUpdated coverage of splines and confidence bands in the chapter on nonparametric regressionNew material on random forests for regression and classification Revamped R code throughout, particularly the many plots using the ggplot2 packageRevised and expanded exercises with solutions now includedDemonstrates the Interplay of Theory and PracticeThis 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.