A Review of the Rayleigh Distribution: Properties, Estimation & Application to COVID-19 Data

M. Z. Anis, I. E. Okorie, M. Ahsanullah

    Research output: Contribution to journalArticlepeer-review

    3 Scopus citations

    Abstract

    We study the different properties of the Rayleigh distribution. These include the descriptive properties, reliability properties and stochastic orders. Next, we consider seven different estimation methods for estimating the parameter, namely: maximum likelihood estimation, matching moments estimation, maximum product of spacing estimation, ordinary least squares estimation, Cramér-von Mises estimation, Anderson-Darling estimation and right-tail Anderson-Darling estimation. A simulation study is done to assess the performance of these methods of estimation and the results shows that all the estimators are mostly efficient and consistent. Finally, using the method of maximum likelihood estimation, we demonstrate the applicability of the Rayleigh distribution by modelling the Netherlands’s COVID-19 mortality rate data as an example.

    Original languageBritish English
    Article number6
    JournalBulletin of the Malaysian Mathematical Sciences Society
    Volume47
    Issue number1
    DOIs
    StatePublished - Jan 2024

    Keywords

    • Estimation methods
    • Moments
    • Reliability functions
    • Statistical properties

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