摘要
考虑半参数模型Y=XTβ+g(T)+ε,其误差是i.i.d随机变量,具有公共未知密度f(t).基于残差构造f(t)的小波估计(t),在适当条件下,证明了该估计的弱相合、强相合、渐近正态性和收敛速度.
For a semiparametric model Y = XTβ + g(t) + ε, let the error seqence be i. i. d with common unknown density f(t) and fmn (t) be a wavelet estimate or of f(t) based on the residuals. Under appropriate condihons, we prove that the estimators convemp in probability and almost everywhere. Asymptotic normality and the rate 0f convergence of the estimator are also considered.
出处
《同济大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
1999年第4期436-437,共2页
Journal of Tongji University:Natural Science
基金
国家自然科学基金!19571061
关键词
半参数模型
误差分布
小波估计
模型
Semiparametric model
Weak consistency
Strong consistency
Rate of convergence
Asymptotic normality