A New Bimodal Maxwell Regression Model With Engineering Applications

doi:10.18576/amis/140509

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…Ref. [23] proved the applicability of the utilized family in real engineering data sets. Another work [24] studied the COVID-19 ICU survival times in a Brazilian hospital.…”

Section: The Golll Regression Modelmentioning

confidence: 92%

Analyzing County-Level COVID-19 Vaccination Rates in Texas: A New Lindley Regression Model

da Costa,

de Lima,

Cordeiro

2023

COVID

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This work aims to study the factors that explain the COVID-19 vaccination rate through a generalized odd log-logistic Lindley regression model with a shape systematic component. To accomplish this, a dataset of the vaccination rate of 254 counties in the state of Texas, US, was used, and simulations were performed to investigate the accuracy of the maximum likelihood estimators in the proposed regression model. The mathematical properties investigated provide important information about the characteristics of the distribution. Diagnostic analysis and deviance residuals are addressed to examine the fit of the model. The proposed model shows effectiveness in identifying the key variables of COVID-19 vaccination rates at the county level, which can contribute to improving vaccination campaigns. Moreover, the findings corroborate with prior studies, and the new distribution is a suitable alternative model for future works on different datasets.

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“…Ref. [23] proved the applicability of the utilized family in real engineering data sets. Another work [24] studied the COVID-19 ICU survival times in a Brazilian hospital.…”

Section: The Golll Regression Modelmentioning

confidence: 92%