✦ LIBER ✦
Bootstrap and Asymptotic Prediction Criterion Estimates for Binomial Proportions in Insemination Data
✍ Scribed by Dr. M. Bonneu; C. Lavergne
- Book ID
- 101712906
- Publisher
- John Wiley and Sons
- Year
- 1992
- Tongue
- English
- Weight
- 432 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0323-3847
No coin nor oath required. For personal study only.
✦ Synopsis
Model choice techniques are proposed for logistic regression. based on prediction criterion estimation similar to Akaike's information criterion. For artificial insemination data of cattle, we wish to study a factor influence on success proportion; tests standard methods don't always seem suitable for prediction objective. Two prediction criterion estimate methods are applied to these data: simulated bootstrap and asymptotic estimates. Some empirical properties of this estimate are studied.