长度偏差和I型滤波存在下香农熵的估计

Q3 Business, Management and Accounting

American Journal of Mathematical and Management Sciences Pub Date : 2021-07-13 DOI:10.1080/01966324.2021.1941452

R. Rajesh, R. G., S. Sunoj

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引用次数: 1

摘要

摘要按横截面采样寿命时，数据出现长度偏差。本文给出了一类截断下长度偏样本的熵函数的非参数核估计。在适当的正则性条件下，我们证明了所提出的估计量是相合的和渐近正态的。我们进行了模拟研究，以评估建议的估计器的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Estimation of Shannon Entropy in the Presence of Length-Bias and Type I Censoring

Abstract Length-biased data appear when sampling lifetimes by cross-section. This article presents a nonparametric kernel estimators of entropy function for the length-biased sample under type I censoring. We have shown that the proposed estimator is consistent and asymptotically normal under suitable regularity conditions. We have conducted simulation studies to assess the performance of the proposed estimators.

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来源期刊

American Journal of Mathematical and Management Sciences Business, Management and Accounting-Business, Management and Accounting (all)

CiteScore

2.70

自引率

0.00%

发文量