Yi WU, Xue-jun WANG, Ling CHEN, Kun JIANG
For the semiparametric regression model: Y(j)(xin, tin) = tinβ+g(xin)+e(j)(xin), 1 ≤ j ≤ k, 1 ≤ i ≤ n, where tin ∈ R and xin ∈ Rp are known to be nonrandom, g is an unknown continuous function on a compact set A in Rp, ej(xin) are m-extended negatively dependent random errors with mean zero, Y(j)(xin, tin) represent the j-th response variables which are observable at points xin, tin. In this paper, we study the strong consistency, complete consistency and r-th (r > 1) mean consistency for the estimators βk,n and gk,n of β and g, respectively. The results obtained in this paper markedly improve and extend the corresponding ones for independent random variables, negatively associated random variables and other mixing random variables. Moreover, we carry out a numerical simulation for our main results.