美国50个最大城市COVID-19死亡率的伽马-麦克斯韦回归

Q4 Mathematics

Model Assisted Statistics and Applications Pub Date : 2023-09-28 DOI:10.3233/mas-221419

N.S.S. da Costa, G.M. Cordeiro

引用次数: 0

摘要

提出了一种基于γ -麦克斯韦分布的参数回归模型。蒙特卡罗模拟表明了极大似然估计的准确性。该模型解释了美国50个最大城市的新冠肺炎死亡率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The gamma-Maxwell regression for COVID-19 mortality rates of the 50 U.S. largest cities

A new parametric regression model is developed based on the gamma-Maxwell distribution. Monte Carlo simulations show the accuracy of the maximum likelihood estimators. The proposed model explains COVID-19 mortality rates of the 50 U.S. largest cities.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Model Assisted Statistics and Applications Mathematics-Applied Mathematics

CiteScore

1.00

自引率

0.00%

发文量

期刊介绍： Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.