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Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data
Bivariate current status data constrained maximum likelihood estimation empirical process sieve maximum likelihood estimation tensor spline basis functions
2012/11/23
The analysis of the joint cumulative distribution function (CDF) with bivariate event time data is a challenging problem both theoretically and numerically. This paper develops a tensor spline-based s...
Semiparametric Additive Transformation Model under Current Status Data
B-spline Consistent variance estimation Current status data Efficient estimation Semiparametric transformation models
2011/6/16
We consider the efficient estimation of the semiparametric additive transformation model
with current status data. A wide range of survival models and econometric models can be incorporated
into thi...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data likelihood ratio Weibull distribu-tions
2011/3/24
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...
Likelihood ratio type two-sample tests for current status data
Nonparametric two sample tests current status data, likelihood ratio Weibull distribu-tions
2011/3/23
We introduce fully nonparametric two sample tests for testing the null hypothesis that the two samples come from the same distribution if the values are only indirectly given via current status censor...