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Semi-parametric inference for copula models for truncated data
Takeshi Emura
*
,
Wei-Jing Wang
,
Hui-Nien Hung
*
Corresponding author for this work
Institute of Statistics
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Scopus citations
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Keyphrases
Rivest
100%
Truncated Data
100%
Copula Model
100%
Likelihood Approach
100%
Association Parameters
100%
Nonparametric Inference
100%
Time Variable
50%
U-statistics
50%
Functional delta Method
50%
Failure Time
50%
Analytic Formula
50%
Truncation
50%
Transfusion
50%
Model Assumptions
50%
Dependent Truncation
50%
Asymptotic Variance
50%
Variance Estimator
50%
Conditional Likelihood
50%
Large Sample Properties
50%
Semiparametric Model
50%
Archimedean Copula
50%
Marginal Function
50%
Estimating Function
50%
Inference Approach
50%
Two-by-two Table
50%
Mathematics
Truncation
100%
Truncated Data
100%
Copula
100%
Likelihood Approach
100%
Parametric Inference
100%
Probability Theory
50%
Delta Method
50%
Archimedean
50%
Failure Time
50%
Analytic Formula
50%
Asymptotic Variance
50%
Variance Estimator
50%
Conditional Likelihood
50%
Estimating Function
50%
Unbiased Statistic
50%