Results 21 to 30 of about 73,625 (339)
Forecasting wind speed data by using a combination of ARIMA model with single exponential smoothing [PDF]
, 2021 Wind serves as natural resources as the solution to minimize global warming and has been commonly used to produce electricity. Because of their uncontrollable wind characteristics, wind speed forecasting is considered one of the best challenges in ...
A. Rahman, Nur H. +5 more
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Implementasi Model Autoregressive Integrated Moving Average pada Proyeksi Komoditas Ekspor Timah
Jambura Journal of Mathematics, 2023 The Bangka Belitung Archipelago is a potential area in the mining sector because many soils contain tin minerals and minerals that are spread evenly. Based on this phenomenon, this study uses the ARIMA model to analyze the prediction of the number of tin
Desy Yuliana Dalimunthe, Herman Aldila
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AUTOREGRESSIVE INTEGRATED MOVING AVERAGE FOR COCOA PRODUCTION IN SULAWESI ISLAND 2021-2030
Jurnal Agrisep, 2022 Agribusiness Cocoa on the island of Sulawesi is very supported by the availability of land plantations to produce production even bigger cocoa with management plant and processing seed good cocoa _ thus producing quality cocoa beans.
Nixia Tenriawaru +6 more
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Frontiers in Applied Mathematics and Statistics, 2022 IntroductionThe price of crude oil as an essential commodity in the world economy shows a pattern and identifies the component factors that influence it in the short and long term.
Dodi Devianto +4 more
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Statistical analysis of autoregressive fractionally integrated moving average models in R [PDF]
Computational Statistics, 2013 20 pages, 8 ...
Contreras Reyes, J., Palma M., Wilfredo
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Bootstrap predictive inference for ARIMA processes [PDF]
, 2004 In this study, we propose a new bootstrap strategy to obtain prediction intervals for autoregressive integrated moving-average processes. Its main advantage over other bootstrap methods previously proposed for autoregressive integrated processes is that ...
Pascual, Lorenzo +2 more
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Indian natural rubber price forecast–An Autoregressive Integrated Moving Average (ARIMA) approach
The Indian Journal of Agricultural Sciences, 2022 The objective of this study was to forecast the price of natural rubber in India during April 2019 to March 2020 by employing autoregressive integrated moving average (ARIMA).
SHYJU MATHEW, RAMASAMY MURUGESAN
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Sistemasi: Jurnal Sistem Informasi, 2023 Indragiri Hilir is one of the districts in Riau Province which is the largest coconut producer in Indonesia. Based on statistical data, total coconut production in Indragiri Hilir was recorded at around 313,396 tons in 2021, but production has decreased ...
Hermiza Mardesci +2 more
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Forecasting Inflation: Autoregressive Integrated Moving Average Model [PDF]
European Scientific Journal, ESJ, 2016 This study compares the forecasting performance of various Autoregressive integrated moving average (ARIMA) models by using time series data. Primarily, The Box-Jenkins approach is considered here for forecasting. For empirical analysis, we used CPI as a proxy for inflation and employed quarterly data from 1970 to 2006 for Pakistan.
Iqbal, Muhammad, Naveed, Amjad
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Autoregressive – spectrally integrated moving average model
Technology audit and production reserves, 2014 В статье рассматривается развитие метода Бокса-Дженкинса, основанное на совместном использовании идей методов «Гусеница»-SSA и Бокса-Дженкинса. Предложена модель авторегрессии – спектрально проинтегрированного скользящего среднего, реализующая трендовый подход, который заключается в моделировании процесса как отклонения фактических значений ...
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