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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 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Extending the linear model with R :/ Julian J. Faraway.
其他題名:	generalized linear, mixed effects and nonparametric regression models /
作者:	Faraway, Julian James.
出版者:	Boca Raton :CRC Press, Taylor & Francis Group, : c2016.,
面頁冊數:	xiii, 399 p. :ill. ;24 cm.
附註:	"A Chapman & Hall book."
內容註:	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.
標題:	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 /
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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