Nonparametric bootstrapping for multiple logistic regression model using R
The use of explanatory variables or covariates in a regression model is an important way to represent heterogeneity in a population. Again bootstrapping is rapidly becoming a popular tool to apply in a broad range of standard applications including multiple regression. The nonparametric bootstrap al...
| Autors principals: | Hossain, Ahmed, Khan, H.T. Abdullah |
|---|---|
| Idioma: | English |
| Publicat: |
BRAC University
2010
|
| Matèries: | |
| Accés en línia: | http://hdl.handle.net/10361/520 |
Ítems similars
-
Rate of returns to education for secondary school techers in Bangladesh with bootstrap sampling
per: Huq, Molla Md. Rashidul
Publicat: (2010) -
Mathematical modeling of health service utilization data using multiple logistic regression
per: Shrestha, Gauri, et al.
Publicat: (2012) -
Logistic regression : a self-learning text /
per: Kleinbaum, David G.
Publicat: (2002) -
Multiple regression in practice /
per: Berry, William Dale
Publicat: (1985) -
Multiple regression in behavioral research
per: Kerlinger, Fred N. (Fred Nichols), 1910-
Publicat: (1973)