|
|
|
|
LEADER |
01913cam a2200421 4500 |
001 |
PPN111333881 |
003 |
http://www.sudoc.fr/111333881 |
005 |
20210518055300.0 |
010 |
|
|
|a 1-584-88424-X
|b rel.
|
010 |
|
|
|a 978-1-58488-424-8
|b rel.
|
035 |
|
|
|a (OCoLC)300319513
|
073 |
|
1 |
|a 9781584884248
|
100 |
|
|
|a 20061214d2006 k y0frey0103 ba
|
101 |
0 |
|
|a eng
|
102 |
|
|
|a US
|
105 |
|
|
|a a a 001yy
|
106 |
|
|
|a r
|
200 |
1 |
|
|a Extending the linear model with R
|b Texte imprimé
|e generalized linear, mixed effects and nonparametric regression models
|f Julian J. Faraway
|
210 |
|
|
|a Boca Raton (Fla.)
|c Chapman [and] Hall/CRC
|d cop. 2006
|
215 |
|
|
|a 1 vol. (IX-301 p.)
|c ill.
|d 25 cm
|
225 |
2 |
|
|a Texts in statistical science series
|f Bradley P. Carlin, Chris Chatfield, Martin Tanner...[et al.]
|
320 |
|
|
|a Bibliogr. p. 289-295. Index
|
327 |
0 |
|
|a 1, Binomial data. 2, Count regression. 3, Contingency tables. 4, Multinomial data. 5, Generalized linear models. 6, Other GLMs. 7, Random effects. 8, Repeated measures and longitudinal data. 9, Mixed effect models for nonnormal responses. 10, Nonparametric regression. 11, Additive models. 12, Trees. 13, Neural networks
|
410 |
|
| |
|0 188876650
|t Texts in statistical science
|x 2380-5161
|
606 |
|
|
|3 PPN027832112
|a Analyse de variance
|2 rameau
|
606 |
|
|
|3 PPN02739381X
|a Analyse de régression
|2 rameau
|
606 |
|
|
|3 PPN08080859X
|a R
|2 rameau
|
606 |
|
|
|3 PPN04077208X
|a Analyse de régression
|2 fmesh
|
606 |
|
|
|3 PPN040661369
|a Analyse de variance
|2 fmesh
|
676 |
|
|
|a 519.5
|v 22
|
700 |
|
1 |
|3 PPN082047650
|a Faraway
|b Julian James
|4 070
|
801 |
|
3 |
|a FR
|b Abes
|c 20160530
|g AFNOR
|
915 |
|
|
|5 441092208:639633706
|b 18461
|
930 |
|
|
|5 441092208:639633706
|b 441092208
|a 62C233
|j u
|
979 |
|
|
|a CCFA
|
991 |
|
|
|5 441092208:639633706
|a exemplaire créé automatiquement par l'ABES
|
997 |
|
|
|a CCFA
|b 18461
|d CMB
|e BAP
|s d
|c 62C233
|
998 |
|
|
|a 848257
|