Research on test day (TD) models began in Canada in 1991. At that time fixed regressions (within age and season of calving) were used to account for the shape of the lactation curve of dairy cows, but the animal effect was used only to account for differences in height of these curves (Ptak and Schaeffer, 1993). Fixed regression TD model was applied to Canadian dairy goat data (Schaeffer and Su...

In standard regression analysis the relationship between one (response) variable and a set of (explanatory) variables is investigated. In a classical framework the response is affected by probabilistic uncertainty (randomness) and, thus, treated as a random variable. However, the data can also be subjected to other kinds of uncertainty, such as imprecision. A possible way to manage all of these...

We consider the problem of estimating an unknown regression function when the design is random with values in k . Our estimation procedure is based on model selection and does not rely on any prior information on the target function. We start with a collection of linear functional spaces and build, on a data selected space among this collection, the least-squares estimator. We study the perform...

The composite quantile regression should provide estimation efficiency gain over a single quantile regression. In this paper, we extend composite quantile regression to nonparametric model with random censored data. The asymptotic normality of the proposed estimator is established. The proposed methods are applied to the lung cancer data. Extensive simulations are reported, showing that the pro...