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Nonparametric test for checking lack of fit of the quantile regression model under random censoring
Lan Wang
Research output
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Contribution to journal
›
Article
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peer-review
14
Scopus citations
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Dive into the research topics of 'Nonparametric test for checking lack of fit of the quantile regression model under random censoring'. Together they form a unique fingerprint.
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Mathematics
Lack of Fit
78%
Random Censoring
73%
Quantile Regression
62%
Non-parametric test
61%
Survival Time
61%
Test Statistic
46%
Regression Model
44%
Local Alternatives
33%
Quantile Function
32%
Moment Conditions
31%
Heart
29%
Null hypothesis
25%
Smoothing
24%
Covariates
22%
kernel
18%
Simulation
16%
Estimator
16%
Business & Economics
Quantile Regression
100%
Nonparametric Test
96%
Censoring
77%
Test Statistic
57%
Regression Model
44%
Local Alternatives
38%
Moment Conditions
36%
Kernel
32%
Smoothing
29%
Finite Sample
28%
Quantile
27%
Covariates
27%
Estimator
21%
Simulation
18%