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Applied Science & Technology Full Text (H.W. Wilson)

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Comparing the performances of symmetric and asymmetric generalized autoregressive conditionally heteroscedasticity models based on long-memory models under different distributions.

• Authors : Al-Gounmeein, Remal Shaher (AUTHOR); Ismail, Mohd Tahir (AUTHOR)

Subjects: BOX-Jenkins forecasting; PETROLEUM; PETROLEUM sales & prices

• Source: Communications in Statistics: Simulation & Computation. 2023, Vol. 52 Issue 5, p1878-1908. 31p.

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Forecasting weekly dengue incidence in Sri Lanka: Modified Autoregressive Integrated Moving Average modeling approach.

• Authors : Karasinghe, Nilantha¹ (AUTHOR); Peiris, Sarath² (AUTHOR); Jayathilaka, Ruwan³ (AUTHOR)

Subjects: *DENGUE; *BOX-Jenkins forecasting; *AKAIKE information criterionSRI Lanka

• Source: PLoS ONE. 3/8/2024, Vol. 19 Issue 3, p1-16. 16p.

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Impact of ADA Guidelines and Medication Shortage on GLP-1 Receptor Agonists Prescribing Trends in the UK: A Time-Series Analysis with Country-Specific Insights.

• Authors : Ibrahim, Ahmed R. N.¹ (AUTHOR) ; Orayj, Khalid M.¹ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *TYPE 2 diabetes; *AKAIKE information criterionUNITED Kingdom

• Source: Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 20, p6256. 10p.

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Interruption time series analysis using autoregressive integrated moving average model: evaluating the impact of COVID-19 on the epidemic trend of gonorrhea in China.

• Authors : Li, Yanyan¹ (AUTHOR); Liu, Xingyan¹ (AUTHOR); Li, Xinxiao¹ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *GONORRHEA; *TIME series analysisCHINA

• Source: BMC Public Health. 10/23/2023, Vol. 23 Issue 1, p1-11. 11p. 1 Diagram, 4 Charts, 6 Graphs.

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Applied Science & Technology Full Text (H.W. Wilson)

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ARIMA model for predicting chronic kidney disease and estimating its economic burden in China.

• Authors : Jian, Yining¹ (AUTHOR); Zhu, Di¹ (AUTHOR); Zhou, Dongnan¹ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *CHRONIC kidney failure; *STANDARD deviationsCHINA

• Source: BMC Public Health. 12/31/2022, Vol. 22 Issue 1, p1-9. 9p. 1 Diagram, 3 Charts, 1 Graph.

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A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh.

• Authors : Noorunnahar, Mst¹ (AUTHOR); Chowdhury, Arman Hossain² (AUTHOR); Mila, Farhana Arefeen³ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *MACHINE learning; *STANDARD deviationsBANGLADESH

• Source: PLoS ONE. 3/27/2023, Vol. 17 Issue 3, p1-15. 15p.

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Education Full Text (H.W. Wilson)

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Auto-regressive integrated moving average (ARIMA) modeling of cocoa production in Nigeria: 1900-2025.

• Authors : Ajetomobi, Joshua Olusegun (AUTHOR); Olaleye, Adesola Olutayo (AUTHOR)

Subjects: BOX-Jenkins forecasting; COCOA; AKAIKE information criterionNIGERIA

• Source: Journal of Crop Improvement. Jul2019, Vol. 33 Issue 4, p445-455. 11p.

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