Empirical likelihood inference for rank regression with doubly truncated data
Author:
Funder
NSFC
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Economics and Econometrics,Social Sciences (miscellaneous),Modeling and Simulation,Statistics and Probability,Analysis
Link
https://link.springer.com/content/pdf/10.1007/s10182-020-00374-5.pdf
Reference38 articles.
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3. Chang, J., Tang, C.Y., Wu, T.T.: A new scope of penalized empirical likelihood with high-dimensional estimating equations. Ann. Stat. 46, 3185–3216 (2018)
4. Efron, B., Petrosian, V.: Nonparametric methods for doubly truncated data. J. Am. Stat. Assoc. 94, 824–834 (1999)
5. Feng, H., Peng, L.: Jackknife empirical likelihood test for regression models. J. Multivar. Anal. 112, 63–75 (2012)
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