Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Hōputu: | Pukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Boca Ratón, FL., USA
Chapman and Hall-CRC
2006
|
| Rangatū: | Texts in Statitical Science
|
| Ngā marau: | |
| Urunga tuihono: | Disponible Online |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Rārangi ihirangi:
- 1 Introduction 2 Binomial Data 3 Count Regression 4 Contingency Tables 5 Multinomial Data 6 Generalized Linear Models 7 Other GLMs 8 Random Effects 9 Repeated Measures and Longitudinal Data 10 Mixed Effect Models for Nonnormal Responses 11 Nonparametric Regression 12 Additive Models 13 Trees 14 Neural Networks A Likelihood Theory B R Information Bibliography Index