The Asymptotic Normality of Estimation on SemivaryingCoefficient Models with Censored Data
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Graphical Abstract
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Abstract
Semivarying coefficient models are generalization of the varying-coefficient regression models, which have extremely wide applications. We studied them with censored data in this paper. By transform data, the estimator of parametric component and nonparametric component on semivarying coefficient models are developed. Asymptotic normalities of the estimator are investigated.
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