Work

Asymptotic normality of adaptive recursive kernel estimator of the density in a right censored model

Year: 2025

Type: article

Abstract: This result focuses on the asymptotic properties of an adaptive recursive kernel density estimator for independent right-censored data. We establish asymptotic normality under regularity condition. As an application, we construct asymptotic confidence intervals for the unknown lifetime density function. The theoretical results are supported by a detailed simulation study, illustrating the estimator’s accuracy, efficiency, and robustness in practical settings.

Source: Gulf Journal of Mathematics

DOI: 10.56947/gjom.v20i2.3198

Authors: Kenza Assia Mezhoud, Sarra Leulmi, Safia Leulmi

Institution: University Frères Mentouri Constantine 1

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4413301571

FWCI:

Cites:

Cited by:

Related to: 10