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Extending the linear model with R : ...

Faraway, Julian James.

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Extending the linear model with R : = generalized linear, mixed effects and nonparametric regression models /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Extending the linear model with R :/ Julian J. Faraway.
Reminder of title:	generalized linear, mixed effects and nonparametric regression models /
Author:	Faraway, Julian James.
Published:	Boca Raton :CRC Press, Taylor & Francis Group, : c2016.,
Description:	xiii, 399 p. :ill. ;24 cm.
Notes:	"A Chapman & Hall book."
[NT 15003449]:	Introduction -- Binary 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.
Subject:	Analysis of variance. -
ISBN:	9781498720960

Extending the linear model with R : = generalized linear, mixed effects and nonparametric regression models /
Faraway, Julian James.

Extending the linear model with R :generalized linear, mixed effects and nonparametric regression models /Julian J. Faraway. - 2nd ed. - Boca Raton :CRC Press, Taylor & Francis Group,c2016. - xiii, 399 p. :ill. ;24 cm. - Chapman & Hall/CRC texts in statistical science series. - Texts in statistical science..

"A Chapman & Hall book."

Includes bibliographical references (p. 385-394) and index.

Introduction -- Binary 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.

ISBN: 9781498720960GBP86.99

LCCN: 2015045130Subjects--Topical Terms:

516400
Analysis of variance.

LC Class. No.: QA279 / .F368 2016

Dewey Class. No.: 519.5/38

Extending the linear model with R : = generalized linear, mixed effects and nonparametric regression models /
LDR:01424cam a2200277 a 4500 001 2341054
003 OCoLC
005 20241016234414.0
008 240819s2016 flua b 001 0 eng
010 $a 2015045130
020 $a 9781498720960 $q (hbk.) : $c GBP86.99
020 $a 149872096X $q (hbk.)
020 $a 9781498720984 $q (pbk.)
020 $a 1498720986 $q (pbk.)
035 $a (OCoLC)931860686 $z (OCoLC)968755348 $z (OCoLC)1166941102
040 $a DLC $b eng $c DLC $d YDXCP $d CDX $d STF $d P4A $d ERL $d NAM $d OCLCO $d LIP
042 $a pcc
050 0 0 $a QA279 $b .F368 2016
082 0 0 $a 519.5/38 $2 23
100 1 $a Faraway, Julian James. $3 1535970
245 1 0 $a Extending the linear model with R : $b generalized linear, mixed effects and nonparametric regression models / $c Julian J. Faraway.
250 $a 2nd ed.
260 # $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c c2016.
300 $a xiii, 399 p. : $b ill. ; $c 24 cm.
490 1 $a Chapman & Hall/CRC texts in statistical science series
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references (p. 385-394) and index.
505 0 # $a Introduction -- Binary 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.
650 # 0 $a Analysis of variance. $3 516400
650 # 0 $a Regression analysis. $3 529831
650 # 0 $a R (Computer program language) $x Mathematical models. $3 1535971
830 0 $a Texts in statistical science. $3 582234