Analyzing COVID-19 outbreak for Turkey and Eight Country with Curve Estimation Models, Box-Jenkins (ARIMA), Brown Linear Exponential Smoothing Method, Autoregressive Distributed Lag (ARDL) and SEIR Models

Tekindal, Mustafa Agâh; Yonar, Harun; Yonar, Aynur; Tekindal, Melike; Çevrimli, Mustafa Bahadır; Alkan, Hasan; İnanç, Zekeriya Safa; Mat, Burak

doi:10.15312/eurasianjvetsci.2020.304

Cited by 8 publications

(4 citation statements)

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“…ARMA model includes an autoregressive (AR) and a moving average (MA) model. While these models are suitable for stationary series, the ARIMA model is performed in nonstationary series ( Tekindal et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

State of the art in total pulse production in major states of India using ARIMA techniques

Mishra

Yonar

et al. 2021

Current Research in Food Science

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Section: Methodsmentioning

confidence: 99%

State of the art in total pulse production in major states of India using ARIMA techniques

Mishra

Yonar

et al. 2021

Current Research in Food Science

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“…ARIMA (Autoregressive Integrated Moving Average), is the most widely used model in these series, as it is the easiest and most understandable model for adapting a linear model when considering all-timeseries strategies (Tarmanini et al, 2023). Box and Jenkins discovered this model, which is also known as the Box-Jenkins model (Tekindal et al, 2020). While this method is suitable for short-term forecasts, it creates large differences as maturity increases.…”

Section: Arima Modelsmentioning

confidence: 99%

Cotton production forecasts of Azerbaijan in the 2023-2027 periods

Uzundumlu

ZEYNALOVA

Engindeniz

2023

Ege Üniversitesi Ziraat Fakültesi Dergisi

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Objective: The objective of this study was to estimate the production area and amount for the years 2023-2027, taking into account the 1992-2022 cotton production area and production data of Azerbaijan, one of the countries that left the Union of Soviet Socialist Republics (USSR) in 1992. Material and methods: The data used in this study were obtained from FAOSTAT and the State Statistical Committee of the Republic of Azerbaijan. The ARIMA method, which is one of the most commonly used methods for univariate time-series estimation, was used in this study. Results: It was estimated that the production area will decrease continuously in 2023-2027, the average production area and production will be 91,942 ha and 324,156 tons, respectively, and the yield will be 3,549 kg/ha in these five years. Conclusion: These results indicated that although the increase in productivity in Azerbaijan provides a significant increase in production, the production area should also be increased to become one of the leading countries in the world market. For this, government support needs to be increased.

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“…The ARIMA model consists of the integration of an autoregressive (AR) model and a moving average (MA) and the combination as (ARMA). While these models are suitable for stationary series, the ARIMA model is performed in non-stationary series (Tekindal et al 2020). ARIMA (p, d, q) models are created by first taking the differences of the data from d degree for the stabilization process and then adding the ARMA (p, q) model.…”

Section: Autoregressive Integrated Moving Average (Arima) Modelsmentioning

confidence: 99%

Modeling and forecasting of wheat of South Asian region countries and role in food security

Yonar

Mishra³

et al. 2021

Adv. in Comp. Int.

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Analyzing COVID-19 outbreak for Turkey and Eight Country with Curve Estimation Models, Box-Jenkins (ARIMA), Brown Linear Exponential Smoothing Method, Autoregressive Distributed Lag (ARDL) and SEIR Models

Cited by 8 publications

References 0 publications

State of the art in total pulse production in major states of India using ARIMA techniques

State of the art in total pulse production in major states of India using ARIMA techniques

Cotton production forecasts of Azerbaijan in the 2023-2027 periods

Modeling and forecasting of wheat of South Asian region countries and role in food security

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