研究半参数回归模型yi=xiβ+g(ti)+ei(1≤i≤n),{ei,1≤i≤n}为正相协序列的未知参数β和未知函数g(t)小波估计的强相合性,得到它们的强收敛速度.
For semiparametic regression model yi=xiβ+g(ti)+ei(1≤i≤n), where error {ei,1≤i≤n} is positive association sequences, we study the strong consistency and convergence rate of the wavelet estimator for β and g(t) under suitable conditions.