Estimation of conditional mode with truncated, censored, and dependent data
Jong-Il Baek and
Si-Li Niu
Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 12, 6000-6016
Abstract:
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 α-mixing sequence. Also, the asymptotic normality of the estimator is established.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:46:y:2017:i:12:p:6000-6016
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DOI: 10.1080/03610926.2015.1116575
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