first-order autoregression Search Results


first order autoregressive covariance matrix structure  (SAS institute)
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Applicability of mathematical and statistical models in the prognosis and forecasting of COVID-19 disease
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Applicability of mathematical and statistical models in the prognosis and forecasting of COVID-19 disease
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Applicability of mathematical and statistical models in the prognosis and forecasting of COVID-19 disease
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12 cross sectional time series package  (STATA Corporation)
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Image Search Results


Applicability of mathematical and statistical models in the prognosis and forecasting of COVID-19 disease

Journal: Sn Computer Science

Article Title: Multiplicative Holts Winter Model for Trend Analysis and Forecasting of COVID-19 Spread in India

doi: 10.1007/s42979-021-00808-0

Figure Lengend Snippet: Applicability of mathematical and statistical models in the prognosis and forecasting of COVID-19 disease

Article Snippet: Kumar et al. (Jan. 2020) , Data from Johns Hopkins Corona Virus Resource Center ( https://coronavirus.jhu.edu/ ) , ARIMA and Richerd’s Model , ARIMA model RMSE for incidence = 12.10, Mortality = 0.833, Recovered = 3.34 , p = order of the autoregressive part, d = degree of first differencing involved, q = order of the MA part , [ ] .

Techniques: Comparison, Incubation, Virus, Infection