Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Rajarathinam Arunachalam"'
Autor:
Rajarathinam Arunachalam
Publikováno v:
Data, Vol 8, Iss 10, p 158 (2023)
The impacts of the coronavirus disease 2019 (COVID-19) pandemic have been extremely severe, with both economic and health crises experienced worldwide. Based on the panel regression model, this study examined the trends and correlations in the number
Externí odkaz:
https://doaj.org/article/217d44a93f614bbf827d383308e3f810
Autor:
RAJARATHINAM ARUNACHALAM
Publikováno v:
Applied Mathematics & Information Sciences. 11:227-233
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd659194b3f3e9a1c73efd654e720c22
https://doi.org/10.18576/amis/160209
https://doi.org/10.18576/amis/160209
Publikováno v:
Research Highlights in Mathematics and Computer Science Vol. 3 ISBN: 9788195999644
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b1a3fa1cc2410bb7ffd210d6dd94a5f
https://doi.org/10.9734/bpi/rhmcs/v3/3911b
https://doi.org/10.9734/bpi/rhmcs/v3/3911b
The present investigation was carried out to study the food grain production trends in different states in India based on Panel Regression Model for the period 2001-02 to 2020-2021. The results reveal that between state-to-state food grain production
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b253f3b0e2385caf26bca64bbe7651a2
https://doi.org/10.21203/rs.3.rs-1133768/v1
https://doi.org/10.21203/rs.3.rs-1133768/v1
Trends in COVID-19 Infected Cases and Deaths Based on Parametric and Nonparametric Regression Models
The present investigation was carried out to study the trends in COVID-19 infected cases and deaths based on the parametric, exponential smoothing and non-parametric regression models by using COVID-19 cumulative infected cases and deaths due to infe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61c3794b75d229d00ad063642bc1a011
https://doi.org/10.21203/rs.3.rs-821046/v1
https://doi.org/10.21203/rs.3.rs-821046/v1
The main aim of the present investigation is to estimate the hidden models and trends in COVID-19 infected cases in all the thirty seven district of from the period from 1st August,2020 to 31st December, 2020. Different statistical curve fitting tool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b364bf59121f9ab015ee98c0309cb850
https://doi.org/10.21203/rs.3.rs-684094/v1
https://doi.org/10.21203/rs.3.rs-684094/v1
Background and Objective: The novel coronavirus pandemic, known as COVID-19, could not have been more predictable; thus, the world encountered health crises and substantial economic crises. This paper analysed the trends in COVID-19 cases in October
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3408cc40052385b4cac2d101112d866
https://doi.org/10.21203/rs.3.rs-635014/v3
https://doi.org/10.21203/rs.3.rs-635014/v3
Background and Objective: The novel coronavirus pandemic, known as COVID-19, could not have been more predictable; thus, the world encountered health crises and substantial economic crises. This paper analyses the trends in COVID-19 cases in October
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10a34ac6095a63129127d21ad8ff9405
https://doi.org/10.21203/rs.3.rs-635014/v1
https://doi.org/10.21203/rs.3.rs-635014/v1
Autor:
Rajarathinam Arunachalam
The effects of the novel coronavirus (COVID-19) pandemic could not have been more profound, with the world encountering health crises as well as enormous economic crises. In this paper, the relationships, and trends in the number of COVID-19 infected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df50f764d5d935bf3302a6d156267082
https://doi.org/10.21203/rs.3.rs-612366/v1
https://doi.org/10.21203/rs.3.rs-612366/v1