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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| Médium: | Článek |
| Jazyk: | English |
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Elsevier
2023-12-01
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| Edice: | MethodsX |
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| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2215016123003497 |