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

 We are mainly concerned with kernel-type estimators for the moment-generating function in present paper. More precisely, we establish central limit theorem characterization of bias and variance nonparametric recursive under some mild conditions censored data setting. Finally, investigate methodology’s performance small samples through a short simulation study.
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ژورنال
عنوان ژورنال: Statistics, Optimization and Information Computing
سال: 2023
ISSN: ['2310-5070', '2311-004X']
DOI: https://doi.org/10.19139/soic-2310-5070-1678