# Nonparametric Recursive Kernel Type Eestimators for the Moment Generating Function Under Censored Data

### Abstract

We are mainly concerned with kernel-type estimators for the moment-generating function in the present paper. More precisely, we establish the central limit theorem with the characterization of the bias and the variance for the nonparametric recursive kernel-type estimators for the moment-generating function under some mild conditions in the censored data setting. Finally, we investigate the methodology’s performance for small samples through a short simulation study.### References

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*Statistics, Optimization & Information Computing*,

*11*(2), 196-215. https://doi.org/10.19139/soic-2310-5070-1678

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