## Abstract We have considered a Bayesian approach for the nonlinear regression model by replacing the normal distribution on the error term by some skewed distributions, which account for both skewness and heavy tails or skewness alone. The type of data considered in this paper concerns repeated m
β¦ LIBER β¦
A Two-Level Regression Model for Growth Curves with Correlated Outcomes
β Scribed by M.M. Ojeda; N. Longford
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 156 KB
- Volume
- 40
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Bayesian analysis for nonlinear regressi
β
Rolando De la Cruz; MΓ‘rcia D. Branco
π
Article
π
2009
π
John Wiley and Sons
π
English
β 400 KB
π 2 views
The Log Multinomial Regression Model for
β
L. Blizzard; D. W. Hosmer
π
Article
π
2007
π
John Wiley and Sons
π
English
β 123 KB
A comparison of mixed effects logistic r
β
Thomas R. Ten Have; Allen R. Kunselman; Luan Tran
π
Article
π
1999
π
John Wiley and Sons
π
English
β 111 KB
π 3 views
We compare mixed effects logistic regression models for binary response data with two nested levels of clustering. The comparison of these models occurs in the context of developmental toxicity data sets, for which multiple types of outcomes (first level) are measured on each rat pup (second level)