Capturing asymmetry in COVID-19 counts using an improved skewness measure for time series data

Capturing asymmetry among time series is an important area of research as it provides a range of information regarding the behaviour and distribution of the underlying series, which in turn proves to be useful for prediction. Classically, this can be achieved by modeling the skewness of the underlyi...

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Detalles Bibliográficos
Autor principal: Bapat, Sudeep R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Statistic
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497792/
https://www.ncbi.nlm.nih.gov/pubmed/37711140
http://dx.doi.org/10.1016/j.mex.2023.102353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497792/
https://www.ncbi.nlm.nih.gov/pubmed/37711140
http://dx.doi.org/10.1016/j.mex.2023.102353

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