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The analysis of bivariate truncated data using the Clayton copula model
Antai Wang
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peer-review
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Dive into the research topics of 'The analysis of bivariate truncated data using the Clayton copula model'. Together they form a unique fingerprint.
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Keyphrases
Copula Model
100%
Bivariate
100%
Clayton Copula
100%
AIDS/HIV
100%
Truncated Data
100%
Left-censored
66%
Clayton Model
66%
Model Assumptions
33%
Limit of Detection
33%
Proposed Methodology
33%
Bivariate Data
33%
Statistical Inference
33%
Goodness-of-fit Test
33%
Virus Distribution
33%
Virus RNA
33%
Semen
33%
Truncated tau
33%
Set Inference
33%
Viral Load
33%
Dependence Parameter
33%
Mathematics
Bivariate
100%
Copula
100%
Truncated Data
100%
Bivariate Data
50%
Test Procedure
50%
Goodness of Fit Test
50%
Test Result
50%
Inferential Statistics
50%
Detection Limit
50%