Abstract
We consider a nonparametric regression model with a parametric family of dependent variable transformations, one of which induces additive covariate effects. We estimate the additive regression effects using the integration method and estimate the transformation parameter from a profiled instrumental variable and pseudolikelihood criterion. The asymptotic distributions of the parameter and regression estimates are given. The practical performance is investigated via an application.
Original language | English (US) |
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Pages (from-to) | 1512-1521 |
Number of pages | 10 |
Journal | Journal of the American Statistical Association |
Volume | 92 |
Issue number | 440 |
DOIs | |
State | Published - Dec 1 1997 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- Box-Cox transformation
- Dimensionality reduction
- Kernels