The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil-Reference-Cited by-同舟云学术

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The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil

Published:2022-02-09 Issue: Volume: Page:1-21
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Hashimoto E. M.¹,Ortega E. M. M.²^ORCID,Cordeiro G. M.³^ORCID,Cancho V. G.⁴,Silva I.⁵

Affiliation:

1. Department of Mathematics, Federal University of Technology – Paraná, Londrina, PR, Brazil

2. Department Exact Sciences, University of São Paulo, Piracicaba, SP, Brazil

3. Department of Statistics, Federal University of Pernambuco, Recife, PE, Brazil

4. Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, SP, Brazil

5. Graduate Program in Environmental Engineering, Federal University of Technology – Paraná, Londrina, PR, Brazil

Funder

CNPq

CAPES

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2036707

Reference37 articles.

1. Statistical modelling for wavelet-domain image fusion

2. Estimation for the three-parameter inverse Gaussian distribution under progressive Type-II censoring

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1. New results and regression model for the exponentiated odd log-logistic family with applications;Model Assisted Statistics and Applications;2024-03-14

2. Investigating the impact of CO₂ emissions on the COVID-19 pandemic by generalized linear mixed model approach with inverse Gaussian and gamma distributions;Open Chemistry;2023-01-01

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