JP Journal of Biostatistics

The JP Journal of Biostatistics is a highly regarded open-access international journal indexed in the Emerging Sources Citation Index (ESCI). It focuses on the application of statistical theory and methods in resolving problems in biological, biomedical, and agricultural sciences. The journal encourages the submission of experimental papers that employ relevant algorithms and also welcomes survey articles in the fields of biostatistics and epidemiology.

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STATISTICAL ANALYSIS OF COVID-19 DATA IN KINGDOM OF SAUDI ARABIA USING: SINE MODIFIED WEIBULL MODEL

Authors

  • I. Elbatal
  • Naif Alotaibi
  • Ibrahim Al-Dayel
  • A. W. Shawki
  • M. Elgarhy

Keywords:

modified Weibull distribution, sine generated class, incomplete moments, COVID-19, maximum likelihood.

DOI:

https://doi.org/10.17654/0973514322011

Abstract

As an extension of the modified Weibull (MW) model, a novel three-parameter lifetime distribution known as the sine modified Weibull (SMW) model is developed and examined. The statistical features of the SMW model, such as the quantile function, moments, moment generating function, and incomplete moment, are computed. The maximum likelihood approach of statistical inference is utilized to estimate the SMW distribution parameters. Applications to COVID-19 real data sets demonstrate the flexibility of the SMW model by comparing it to well-known models such as exponentiated exponential Weibull (EEW), exponentiated Kumaraswamy Weibull (EKW), exponentiated truncated inverse Weibull inverse Weibull (ETIWIW), and weighted exponentiated inverted Weibull (WEIW).

Received: February 9, 2022
Revised: March 26, 2022
Accepted: March 30, 2022

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Published

2022-04-07

Issue

Vol. 20 (2022)

Section

Articles

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How to Cite

STATISTICAL ANALYSIS OF COVID-19 DATA IN KINGDOM OF SAUDI ARABIA USING: SINE MODIFIED WEIBULL MODEL. (2022). JP Journal of Biostatistics, 20, 11-26. https://doi.org/10.17654/0973514322011

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