使用寿命分布进行核密度估计的R包

Q3 Mathematics

WSEAS Transactions on Mathematics Pub Date : 2023-10-20 DOI:10.37394/23206.2023.22.82

Javaria Ahmad Khan, Atif Akbar, B. M. Golam Kibria

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引用次数: 0

摘要

R包DELTD用于通过不对称核估计密度和计算MSE。这个包是用来估计没有边界偏差的密度。该包的主要关注点是增强其在执行关于所述内核的推理时的有用性。为此，我们考虑了一些寿命分布，如Beta、Birnbaum-Saunders、Erlang、Gamma和Lognormal，因为它们在寿命数据分析中很有用，在密度估计中也可以观察到它们的估计值。金枪鱼的数据也在本包中介绍。通过使用这些核，密度将不存在边界问题。这个包是属于生命周期分布的不对称内核的集合。

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DELTD: An R Package for Kernel Density Estimation using Lifetime Distributions

The R package DELTD is for estimating densities by asymmetrical kernels and calculating MSE. This package is to estimate densities that are free of boundary bias. The major concern of the package is to enhance its usefulness in performing inference regarding stated kernels. For this purpose, some lifetime distributions, i.e. Beta, Birnbaum-Saunders, Erlang, Gamma, and Lognormal are considered here due to their usefulness in life data analysis, where their estimated values for density estimation can also be observed. Tuna data is also presented in this package. By using these kernels, densities will be free of boundary problems. This package is a collection of asymmetrical kernels which belong to the lifetime distribution.

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来源期刊

WSEAS Transactions on Mathematics Mathematics-Discrete Mathematics and Combinatorics

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： WSEAS Transactions on Mathematics publishes original research papers relating to applied and theoretical mathematics. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with linear algebra, numerical analysis, differential equations, statistics and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.