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General two-parameter distribution: Statistical properties, estimation, and application on COVID-19.

Ahmed M GemeayZeghdoudi HalimM M Abd El-RaoufEslam HussamAlanazi Talal AbdulrahmanNour Khaled MashaqbahNawaf AlshammariNicholas Makumi
Published in: PloS one (2023)
In this paper, we introduced a novel general two-parameter statistical distribution which can be presented as a mix of both exponential and gamma distributions. Some statistical properties of the general model were derived mathematically. Many estimation methods studied the estimation of the proposed model parameters. A new statistical model was presented as a particular case of the general two-parameter model, which is used to study the performance of the different estimation methods with the randomly generated data sets. Finally, the COVID-19 data set was used to show the superiority of the particular case for fitting real-world data sets over other compared well-known models.
Keyphrases
  • coronavirus disease
  • sars cov
  • electronic health record
  • big data
  • machine learning
  • data analysis
  • artificial intelligence
  • solid state