Nonlinear measurement errors models subject to partial linear additive distortion

• Published in: Brazilian journal of probability and statistics Vol. 32; no. 1; pp. 86 - 116
• Main Authors: Zhang, Jun, Zhou, Nanguang, Chen, Qian, Chu, Tianyue
• Format: Journal Article
• Language: English
• Published: Brazilian Statistical Association 01.02.2018

We study nonlinear regression models when the response and predictors are unobservable and distorted in a multiplicative fashion by partial linear additive models (PLAM) of some observed confounding variables. After approximating the additive nonparametric components in the PLAM via polynomial splin...