The plurality of research used various regression and period-series models to analyse COVID-19 cases cause these models are widely used to analyse the progress or development of afflictions. The main goals of the current study search out examine the short- and unending cointegration relationships between the accruing number of new COVID-19 infections (X) and the accruing number of COVID-19-related grave (Y), to examine the long-run balance relationship middle from two points these variables using an autoregressive delivered lag model and bounds cointegration tests, and to check the stability of the supposed model. In order to evaluate the thickness of the model parameters, two tests-the accruing sum of circular residuals test and the accruing sum of recurrent residuals squares test-are utilised.
Author(s) Details:
Rajarathinam Arunachalam,
Department
of Statistics, Manonmaniam Sundaranar University, Tirunelveli–627 012, Tamil
Nadu State, India.
Tamilselvan
Pakkirisamy,
Department
of Statistics, Manonmaniam Sundaranar University, Tirunelveli–627 012, Tamil
Nadu State, India.
Please see the link here: https://stm.bookpi.org/RHMCS-V3/article/view/8875
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