On Partially Linear Single-Index Models with Missing Response and Error-in-Variable Predictors
In this paper, we consider a partially linear single-index model when missing responses and nonlinear regressors with measurement error are taken into account. Utilizing data imputation for missing values and regression calibration for error-prone regressors, we not only estimate the parameters in t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2019-04-01
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| Series: | Journal of Statistical Theory and Applications (JSTA) |
| Online Access: | https://www.atlantis-press.com/article/125905882/view |