DOAJ Open Access 2020

On Kernel Hazard Rate Function Estimate for Associated and Left Truncated Data

Zohra Guessoum Abdelkader Tatachak

Abstrak

Let {XN , N ≥ 1} be a sequence of strictly stationary associated random variables of interest, and {TN , N ≥ 1} be a sequence of random truncating variables assumed to be independent from {XN , N ≥ 1}. In this paper, we establish the strong uniform consistency with a rate of a kernel hazard rate function estimator, when the variable of interest is subject to random left truncation under association condition. Simulation results are also provided to evaluate the finite-sample performances of the proposed estimator.

Topik & Kata Kunci

Statistics Probabilities. Mathematical statistics

Penulis (2)

Zohra Guessoum

Abdelkader Tatachak

Format Sitasi

APA MLA BibTeX

Guessoum, Z., Tatachak, A. (2020). On Kernel Hazard Rate Function Estimate for Associated and Left Truncated Data. https://doi.org/10.57805/revstat.v18i3.305

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.57805/revstat.v18i3.305
Akses: Open Access ✓