摘要:
设{εi,1≤i≤n}为ND随机误差序列, 利用ND序列的Bernstein不等式, 在非参数回归模型Yi=g(xi)+εi(1≤i≤n)下, 研究未知函数g(x)加权核估计gn(x)的强相合速度,
从而将加权回归函数估计的相合性推广到ND样本.
中图分类号:
曾翔, 吴群英. ND样本加权回归函数估计的强相合速度[J]. J4, 2013, 51(02): 237-240.
CENG Xiang, TUN Qun-Yang. Rate of Strong Consistency of Regression Weighted FunctionEstimator for Negatively Associated Dependent Samples[J]. J4, 2013, 51(02): 237-240.