✦ LIBER ✦
Deconvolution kernel estimator for mean transformation with ordinary smooth error
✍ Scribed by Huai-Zhen Qin; Shi-Yong Feng
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 145 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
✦ Synopsis
Consider the convolution model Y = X + in which is the ordinary smooth measurement error with a known distribution. The estimator of mean transformation  = E[G(X )] is constructed by deconvolution kernel technique. Moment and weak convergence rates of the proposed estimator are derived under some mild regularity conditions. Simulation results indicate that the underlying estimator is highly accurate and robust.