寿命分布和生存模型的广义族

Q3 Mathematics
Mahmoud Aldeni, F. Famoye, Carl Lee
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引用次数: 1

摘要

在寿命数据中,危险函数是描述寿命分布特征的常用技术。单调递增或递减和单峰是相对简单的危险函数形状,可以用许多参数寿命分布来建模。然而,较少的分布能够建模多样化和更复杂的形状,如n型,反射n型,w型和m型风险率函数。引入了一类广义的寿命分布,即uniform-R{generalized lambda} (U-R{GL}),推导了相应的生存模型,并将其应用于两个寿命数据集。将生存模型应用于右截尾寿命数据集。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Generalized Family of Lifetime Distributions and Survival Models
In lifetime data, the hazard function is a common technique for describing the characteristics of lifetime distribution. Monotone increasing or decreasing, and unimodal are relatively simple hazard function shapes, which can be modeled by many parametric lifetime distributions. However, fewer distributions are capable of modeling diverse and more complicated shapes such as N-shaped, reflected N-shaped, W-shaped, and M-shaped hazard rate functions. A generalized family of lifetime distributions, the uniform-R{generalized lambda} (U-R{GL}) are introduced and the corresponding survival models are derived, and applied to two lifetime data sets. The survival model is applied to a right censored lifetime data set.
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
5
期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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