Corrected empirical likelihood inference for right-censored partially linear single-index model
This article deals with the inference on a right-censored partially linear single-index model (RCPLSIM). The main focus is the local empirical likelihood-based inference on the nonparametric part in RCPLSIM. With a synthetic data approach, an empirical log-likelihood ratio statistic for the nonparam...
Saved in:
Main Authors: | Huang, Zhensheng., Pang, Zhen. |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/98275 http://hdl.handle.net/10220/17188 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Adaptive profile-empirical-likelihood inferences for generalized single-index models
by: Huang, Zhensheng., et al.
Published: (2013) -
Testing structural change in partially linear single-index models with error-prone linear covariates
by: Huang, Zhensheng, et al.
Published: (2013) -
Modelling and inference for complex survical data under interval censoring
by: Ma, Xiangmei
Published: (2012) -
Semiparametric sieve maximum likelihood estimation for accelerated hazards model with interval-censored data
by: Szabo, Zsolt, et al.
Published: (2022) -
Semiparametric sieve maximum likelihood estimation for interval censored data with/without cure fraction
by: Szabo, Zsolt
Published: (2018)