We consider a general non-parametric regression model, where the distribution of the error, given the covariate, is modelled by a conditional distribution function. For the estimation, a kernel ...

The simulations indicate that the expanded regression calibration estimator dominates the other estimators when its distributional assumptions are satisfied. When they fail, a small-sample ...

International Journal of Obesity - Regression to the mean, apparent data errors and biologically extraordinary results: letter regarding ‘changes in telomere length 3–5 years after ...

Example 8.13: Parameter Estimation for a Regression Model with ARMA Errors Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations ...