Order Total (1 Item Items):
Shipping Destination:
Extending Linear Model (34 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (34)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (23)
- As New, Fine or Near Fine (5)
- Very Good or Good (6)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (14)
- Not Print on Demand (34)
Language (1)
Free Shipping
Seller Location
Seller Rating
-
Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models. Texts in Statistical Science.
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
gebundene Ausgabe. Condition: Gut. 301 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 585.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2005
ISBN 10: 158488424X ISBN 13: 9781584884248
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
-
Extending the Linear Model With R: Generalized Linear, Mixed Effects and Nonparametric Regression Models Texts in Statistical Science
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Seller rating 5 out of 5 stars
gebundene Ausgabe. Condition: Gut. 301 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 590.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2005
ISBN 10: 158488424X ISBN 13: 9781584884248
Seller: Wonder Book, Frederick, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Like New condition. A near perfect copy that may have very minor cosmetic defects.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Hardcover. Condition: Good. 2nd Edition.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
-
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781584884248.
-
Extending the Linear Model With R : Generalized Linear, Mixed Effects and Nonparametric Regression Models
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: New.
-
Extending the Linear Model with R (Hardcover)
Language: English
Published by Taylor & Francis Inc, Portland, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
-
Extending the Linear Model with R
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
-
Extending the Linear Model With R : Generalized Linear, Mixed Effects and Nonparametric Regression Models
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Extending the Linear Model With R : Generalized Linear, Mixed Effects and Nonparametric Regression Models
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: As New. Unread book in perfect condition.
-
Condition: new.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: New. pp. 417.
-
Extending the Linear Model with R (Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC 2016-03-24, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Paperback. Condition: New.
-
Extending the Linear Model With R : Generalized Linear, Mixed Effects and Nonparametric Regression Models
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2005
ISBN 10: 158488424X ISBN 13: 9781584884248
Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Chapman and Hall/CRC, 2005
ISBN 10: 158488424X ISBN 13: 9781584884248
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: New. pp. 417.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Language: English
Published by Taylor & Francis Inc, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Language: English
Published by Taylor & Francis Inc, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. . 2016. 2nd Edition. Hardcover. . . . .
-
Book/CD-ROM. Condition: Brand New. 2nd revised edition. 416 pages. 9.50x6.50x1.00 inches. In Stock.
-
EXTENDING THE LINEAR MODEL WITH R
Language: English
Published by Chapman and Hall/CRC, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: NEW.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Language: English
Published by Taylor & Francis Group, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: New. pp. 417.
-
Extending the Linear Model with R (Hardcover)
Language: English
Published by Taylor & Francis Inc, Portland, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Hardcover. Condition: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
-
Extending the Linear Model with R
Language: English
Published by Taylor and Francis Inc, US, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: 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.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition (Texts in Statistical Science, Band 124) : Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Language: English
Published by Taylor & Francis Inc, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
hardcover. Condition: Sehr gut. Gebraucht - Sehr gut SG -leichte Beschädigungen oder Verschmutzungen, ungelesenes Mängelexemplar, gestempelt - 2nd edition.
-
Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition
Language: English
Published by Taylor & Francis Inc, 2016
ISBN 10: 149872096X ISBN 13: 9781498720960
Condition: New. . 2016. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
-
Condition: 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.
