Article
The effect of a feature of regression disturbance on the efficiency of fitting growth curves.
Growth, development, and aging : GDA - 1 Jan 1994
Pasternak H, Shalev B A
Abstract excerpt
Growth curve parameters are usually estimated by employing non-linear regression. In the present study this method was found to be inefficient for fitting growth curves, since the magnitude of random deviations of body weight greatly increases with age (heteroskedastic regression disturbance). Si...
Topics
- Age Factors
- Algorithms
- Animals
- Body Weight
- Chickens
- Genetic Variation
- Growth
- Least-Squares Analysis
- Male
- Models, Biological
- Nonlinear Dynamics
- Regression Analysis