A Corrected Plug-in Method for the Quantile Confidence Interval of a Transformed Regression
In this paper we propose an analytically corrected plug-in method for constructing confidence intervals of the conditional quantiles of a response variable with data transformation. The method can be applied to (i) a general conditional regression quantile, (ii) a general monotonic transformation, a...
Saved in:
Main Authors: | YANG, Zhenlin, TSE, Yiu Kuen |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2002
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/697 https://ink.library.smu.edu.sg/context/soe_research/article/1696/viewcontent/Yang_Tse.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Modeling the Firm-Size Distribution Using Box-Cox Heteroscedastic Regression
by: YANG, Zhenlin, et al.
Published: (2004) -
A Corrected Plug-in Method for Quantile Interval Construction through a Transformed Regression
by: YANG, Zhenlin, et al.
Published: (2007) -
A quantile regression estimator for censored data
by: Leng, C., et al.
Published: (2014) -
Conditional Lp-quantiles and their application to the testing of symmetry in non-parametric regression
by: Chen, Z.
Published: (2014) -
Predicting Crash Rate Using Logistic Quantile Regression With Bounded Outcomes
by: Xu, Xuecai, et al.
Published: (2018)