Results 21 to 30 of about 27,723 (301)
Jambura Journal of Mathematics, 2019 Analisis data time series menggunakan metode Winter’s exponential smoothing dan Pegel’s exponential smoothing merupakan analisis data yang dipengaruhi oleh pola data musiman.
Dwi Agoes Setiawan +2 more
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Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model
Complexity, 2020 To predict the concentration of air pollutants accurately, conformable fractional accumulation grey double exponential smoothing and adjacent accumulation grey double exponential smoothing are proposed, respectively.
Zhicun Xu, Meng Dun, Lifeng Wu
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Jurnal Lebesgue, 2020 Tujuan dari penelitian ini adalah untuk mengetahui model peramalan yang paling baik digunakan untuk meramalkan inflasi di Indonesia dengan data inflasi Januari 2015 sampai dengan Mei 2020. Penelitian ini menggunakan beberapa metode peramalan. Berdasarkan
Nugroho Arif Sudibyo +3 more
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Forecasting Rice Paddy Production in Aceh Using ARIMA and Exponential Smoothing Models
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022 Indonesia targets Aceh to be one of the paddy production centers and be able to carry out self-sufficient production in paddy and become a national granary. However, in reality, Aceh's paddy production in its province is not consistent from year to year.
Nurviana Nurviana +4 more
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معالجة عدم استقراریة السلسلة الزمنیة - مراجعة مقال- [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 the time series is a problem in econometric analysis as the statistical properties of series analysis are lost when using unstable time series.
Alla abd alsatar +2 more
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Media Statistika, 2015 Automatic clustering technique and fuzzy logical relationships(ACFLR) is one of the forecasting method that used to predict time series data that can be applied in any data. Several previous studies said that this method has a good accuracy.
Betik Endaryati, Robert Kurniawan
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Optimum Constant Smoothing for Exponential Smoothing Model with Application [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 In this paper, we study methods to obtain the constant smoothing of exponential smoothing model and suggest another method, to obtain constant smoothing of dependent (two estimation New and old Information) of dependent adaptive filtering ,and ...
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Exponential smoothing constant determination to minimize the forecast error
, 2022 One of the fundamental issues in exponential smoothing is to determine the smoothing constants. Researchers usually use the determination available in the statistical software. However, the result may not able to minimize the forecast error.
Noor, N. A. M., Rahman, N. H. A.
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Stock Price Forecasting of IBEX35 Companies in the Petroleum, Electricity, and Gas Industries
Energies, 2023 In recent years, time series forecasting has become an essential tool for stock market analysts to make informed decisions regarding stock prices. The present research makes use of various exponential smoothing forecasting methods.
Ivan Borisov Todorov +1 more
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On Probability Estimation by Exponential Smoothing [PDF]
2015 Data Compression Conference, 2015 Probability estimation is essential for every statistical data compression algorithm. In practice probability estimation should be adaptive, recent observations should receive a higher weight than older observations. We present a probability estimation method based on exponential smoothing that satisfies this requirement and runs in constant time per ...
openaire +2 more sources