Estimation of conditional mode with truncated, censored, and dependent data
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS(2017)
摘要
In this paper, we studied the uniform convergence with rates for the kernel estimator of the conditional mode function for a left truncated and right censored model. It is assumed that the lifetime observations with multivariate covariates form a stationary -mixing sequence. Also, the asymptotic normality of the estimator is established.
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关键词
Asymptotic normality,conditional mode,truncated and censored data,uniform convergence with rate,alpha-mixing
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