ArticleJournal of applied statistics2021
Multimodal exponential families of circular distributions with application to daily peak hours of
Article in Journal of applied statistics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- A Bayesian nonparametric model for bounded directional data on the positive orthant of the unit sphere.Journal of applied statistics · 2024Article
- A characteristic function based circular distribution family and its goodness of fit : The flexible wrapped Linnik family.Journal of applied statistics · 2024Article
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2 authors.
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Abstract
In this paper, we propose two multimodal circular distributions which are suitable for modeling circular data sets with two or more modes. Both distributions belong to the regular exponential family of distributions and are considered as extensions of the von Mises distribution. Hence, they possess the highly desirable properties, such as the existence of non-trivial sufficient statistics and optimal inferences for their parameters. Fine particulates (PM2.5) are generally emitted from activities such as industrial and residential combustion and from vehicle exhaust. We illustrate the utility of our proposed models using a real data set consisting of fine particulates (PM2.5) pollutant levels in Houston region during Fall season in 2019. Our results provide a strong evidence that its diurnal pattern exhibits four modes; two peaks during morning and evening rush hours and two peaks in between.
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