| Files Posted by Hovav |
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| 07 Jul 2006 |
|
Bayesian Analysis Exploiting Discretization Numerically evaluation a posterior through discretization
Author: Hovav Dror |
bayesian inference, statistics, probability, credible intervals, small sample |
2 |
0 |
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| 06 Jul 2006 |
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Sequential Experimental Designs for GLM Sequential plans for designing experiments with binary (or any GLM) response
Author: Hovav Dror |
statistics, probability, doe bayesian generali... |
3 |
0 |
|
| 21 Mar 2006 |
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Box-Cox power transformation for Linear Models A utility helping finding lamda to transform y-->y^lamda to best fit multiple linear regression ...
Author: Hovav Dror |
boxcox, statistics, probability, regression, transformation |
24 |
1 |
5.0 |
2 ratings
|
| 08 Feb 2006 |
|
Robust Experimental Designs for Generalized Linear Models Finding Local D-optimal and Robust Experimental Designs for GLM
Author: Hovav Dror |
statistics, probability, animation, binary, response, clustering |
3 |
1 |
5.0 |
1 rating
|
| Files Tagged by Hovav |
View all
|
| Updated |
|
File |
Tags |
Downloads (last 30 days) |
Comments |
Rating |
| 07 Jul 2006 |
|
Bayesian Analysis Exploiting Discretization Numerically evaluation a posterior through discretization
Author: Hovav Dror |
bayesian inference, statistics, probability, credible intervals, small sample |
2 |
0 |
|
| 06 Jul 2006 |
|
Sequential Experimental Designs for GLM Sequential plans for designing experiments with binary (or any GLM) response
Author: Hovav Dror |
statistics, probability, doe bayesian generali... |
3 |
0 |
|
| 21 Mar 2006 |
|
Box-Cox power transformation for Linear Models A utility helping finding lamda to transform y-->y^lamda to best fit multiple linear regression ...
Author: Hovav Dror |
boxcox, statistics, probability, regression, transformation |
24 |
1 |
5.0 |
2 ratings
|
| 08 Feb 2006 |
|
Robust Experimental Designs for Generalized Linear Models Finding Local D-optimal and Robust Experimental Designs for GLM
Author: Hovav Dror |
statistics, probability, animation, binary, response, clustering |
3 |
1 |
5.0 |
1 rating
|
|