Robust tests in generalized partial linear models

In this talk we will first remind the robust procedures existing to estimate the regression parameter and the regression function under a generalized partial linear model. Based on them, we will describe how to construct a Wald type statistic to test hypothesis on the regression parameter and a robust test to decide if the regression function is linear. The asymptotic behavior of the test statistics and derived and results from a Monte Carlo study will be presented.