Identifying the cycles in COVID-19 infection: the case of Turkey-Reference-Cited by-同舟云学术

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Identifying the cycles in COVID-19 infection: the case of Turkey

Published:2022-01-31 Issue: Volume: Page:1-13
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Akdi Yılmaz¹^ORCID,Emre Karamanoğlu Yunus²^ORCID,Ünlü Kamil Demirberk³^ORCID,Baş Cem⁴^ORCID

Affiliation:

1. Department of Statistics, Faculty of Science, Ankara University, Ankara, Turkey

2. Gendarmerie and Coast Guard Academy, Ankara, Turkey

3. Department of Mathematics Ankara, Atilim University, Ankara, Turkey

4. Price Statistics Directorate, Turkish Statistical Institute (TURKSTAT), Ankara, Turkey

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2028744

Reference20 articles.

1. Evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global health emergency

2. Pfriodograms of unit root time series: distributions and tests

3. Daily electrical energy consumption: Periodicity, harmonic regression method and forecasting

4. Estimation and forecasting of PM10 air pollution in Ankara via time series and harmonic regressions

5. Duration of Global Financial Cycles

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FORECASTING AIR POLLUTION RATES VIA HARMONIC REGRESSION METHOD IN COLD WEATHER CONDITIONS: A CASE STUDY OF ERZURUM CITY, TÜRKIYE;Applied Ecology and Environmental Research;2024

2. Seasonality of COVID-19 incidence in the United States;Frontiers in Public Health;2023-12-05

3. Editorial to the special issue: statistical perspectives on analytics for COVID-19 data;Journal of Applied Statistics;2023-07-28

4. Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan;Healthcare;2023-03-03

5. Deep Learning Algorithms for Forecasting COVID-19 Cases in Saudi Arabia;Applied Sciences;2023-01-31

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