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Testing for linearity in generalized linear models using kernel smoothing
Chin-Shang Li
Research output
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Article
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peer-review
1
Scopus citations
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Dive into the research topics of 'Testing for linearity in generalized linear models using kernel smoothing'. Together they form a unique fingerprint.
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Mathematics
Kernel Smoothing
84%
Linearity
67%
Generalized Linear Model
67%
Coronary Heart Disease
50%
Heteroscedastic Regression
45%
Testing
44%
Log-likelihood Ratio
41%
Inverse Gaussian
39%
Nonlinear Regression Model
39%
Likelihood Ratio Test
33%
Test Statistic
27%
kernel
21%
Simulation
20%
Alternatives
19%
Performance
18%
Model
10%
Business & Economics
Kernel Smoothing
100%
Generalized Linear Model
84%
Linearity
79%
Testing
53%
Coronary Heart Disease
51%
Nonlinear Regression
42%
Likelihood Ratio Test
38%
Kernel
38%
Test Statistic
33%
Adequacy
32%
Regression Model
26%
Simulation
21%
Alternatives
14%
Performance
12%
Engineering & Materials Science
Testing
32%
Statistics
15%