The Emperical euclidean Likelihood Estimation about Parameters for the Additive Model

The additive model is one of the most important models in parameter design. In this paper, we discuss the empirical Euclidean likelihood estimation about parameters for the additive model. We also give WLS estimates of parameter vector for the additive model. The empirical Euclidean likelihood estimation about parameters is asymptotically as efficient as the WLS estimates. Finally, a numerical example is given.