Results 101 to 110 of about 72,436 (339)
Jurnal Agrica, 2017 Kajian ini bertujuan untuk meramalkan produksi kedelai di Sumatera Utara tahun 2016-2019. Metode yang digunakan dalam penelitian ini adalah Metode Autoregressive Integrated Moving Average (ARIMA).
Rita Herawaty Br Bangun
doaj +1 more source
The Validity of Autoregressive Integrated Moving Average Approach to Forecast the Spread of COVID‐19 Pandemic in Africa [PDF]
, 2022 Habtamu Legese Feyisa +1 more
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Autism Research, EarlyView.ABSTRACT Parent–child biobehavioral synchrony, or the concordance of behavior and physiological indicators between individuals, is theorized to support children's social development; however, this relationship has yet to be investigated in autistic children.
Carly Moser +5 more
wiley +1 more source
Tests For Unit Roots: A Monte Carlo Investigation [PDF]
Recent work by Said and Dickey (1984 ,1985) , Phillips (1987), and Phillips and Perron(1988) examines tests for unit roots in the autoregressive part of mixed autoregressive-integrated-moving average (ARIHA) models (tests for stationarity).
G. William Schwert
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Multiple Seasonal Autoregressive Integrated Moving Average Models
Journal of ForecastingABSTRACTMany empirical time series show periodic patterns. SARIMA models and exponential smoothing methods are classical approaches to account for seasonal dynamics. However, they allow to model just one periodic component, while several time series have multiple seasonality, with periodic components possibly tangled among them. To face this case, some
Francesco Lisi, Matteo Grigoletto
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Generative Deep Learning for Advanced Battery Materials
Batteries &Supercaps, EarlyView.This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal +3 more
wiley +1 more source
Forecasting Dog Bite Incidents: An Autoregressive Integrated Moving Average Time Series Analysis
Preventive Medicine: Research & ReviewsIntroduction: This study, driven by the high incidence of dog bites in India and the fatality risk of rabies, utilised Autoregressive Integrated Moving Average (ARIMA) analysis to forecast dog bite trends in a metropolitan tertiary care hospital ...
Dinesh Asokan +4 more
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Prediksi Jumlah Kasus COVID-19 menggunakan Metode Autoregressive Integrated Moving Average (ARIMA) (Studi Kasus Kabupaten Sidoarjo) [PDF]
, 2021 Lailatul Ainiyah, Muflihah Bansori
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Statistical Time Series Analysis of Emission and Deposition of SO2 and NOx in Northeastern North America [PDF]
Trend analysis and forecasting of time series data on air-pollutants is important to design effective measures to minimize damages to ecosystems and human health.
Barre, Mike, Mariam, Yohannes
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