An Extended Rayleigh Model: Properties, Regression and COVID-19 Application

IF 0.6 Q4 STATISTICS & PROBABILITY
G. Cordeiro, Gabriela M. Rodrigues, E. Ortega, L. H. D. Santana, R. Vila
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引用次数: 1

Abstract

We define a four-parameter extended Rayleigh distribution, and obtain several mathematical properties including a stochastic representation. We construct a regression from the new distribution. The estimation is done by maximum likelihood. The utility of the new models is proved in two real applications.
扩展的Rayleigh模型:性质、回归及COVID-19应用
我们定义了一个四参数扩展瑞利分布,并得到了包括随机表示在内的几个数学性质。我们根据新的分布构造一个回归。估计是通过最大似然来完成的。在两个实际应用中证明了新模型的实用性。
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来源期刊
Chilean Journal of Statistics
Chilean Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.40
自引率
0.00%
发文量
1
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