elements of computational statistics /
| |
elements of computational statistics /
|
branch-and-bound applications in com...
| |
branch-and-bound applications in combinatorial data analysis /
|
local regression and likelihood
| |
local regression and likelihood
|
|
|
basics of s-plus
|
numerical analysis for statisticians
| |
numerical analysis for statisticians
|
introduction to statistics with python
| |
introduction to statistics with python
|
random number generation and monte c...
| |
random number generation and monte carlo methods /
|
evolutionary statistical procedures
| |
evolutionary statistical procedures
|
developing statistical software in f...
| |
developing statistical software in fortran 95
|
mixed-effects models in s and s-plus /
| |
mixed-effects models in s and s-plus /
|
modern applied statistics with s-plus /
| |
modern applied statistics with s-plus /
|
local regression and likelihood
| |
local regression and likelihood
|
|
|
basics of s and s-plus
|
|
|
r for sas and spss users
|
sas/iml companion for linear models
| |
sas/iml companion for linear models
|
numerical analysis for statisticians
| |
numerical analysis for statisticians
|
|
|
s programming /
|
random number generation and monte c...
| |
random number generation and monte carlo methods
|
numerical linear algebra for applica...
| |
numerical linear algebra for applications in statistics /
|
computer intensive methods in statis...
| |
computer intensive methods in statistics /
|