Results 31 to 40 of about 74,761 (297)
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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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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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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Frontiers in Earth Science, 2020 This study detects the presence of seasonality, stationarity, and long-range memory structures in daily radon measurements from a permanent monitoring station in central Italy.
Marianna Siino +2 more
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Forecasting Construction Tender Price Index in Ghana using Autoregressive Integrated Moving Average with Exogenous Variables Model [PDF]
, 2018 Prices of construction resources keep on fluctuating due to unstable economic situations that have been experienced over the years. Clients knowledge of their financial commitments toward their intended project remains the basis for their final decision.
Adjei-Kumi, Theophilus +3 more
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Identification of Optimal Autoregressive Integrated Moving Average Model on Temperature Data [PDF]
, 2011 Autoregressive Integrated Moving Average (ARIMA) processes of various orders are presented to identify an optimal model from a class of models. Parameters of the models are estimated using an Ordinary Least Square (OLS) approach.
Fasoranbaku, Olusoga Akin +1 more
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Rainfall Forecast of Merauke Using Autoregressive Integrated Moving Average Model
E3S Web of Conferences, 2018 Climate is an important element for human life, one of them is to agriculture sector. Global climate change leads to increased frequency and extreme climatic intensity such as storms, floods, and droughts.
Pasaribu Yenni P. +2 more
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Transfer Function Analysis: Modelling Residential Building Costs in New Zealand by Including the Influences of House Price and Work Volume [PDF]
, 2019 An accurate cost estimate not only plays a key role in project feasibility studies but also in achieving a final successful outcome. Conventionally, estimating cost typically relies on the experience of professionals and cost data from previous projects.
Liu, Zhansheng +3 more
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PERAMALAN CURAH HUJAN DENGAN PENDEKATAN SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA)
Barekeng, 2017 Kota Ambon merupakan ibukota Provinsi Maluku yang berada di kawasan timur Indonesia. Kota Ambon memiliki intensitas curah hujan yang relatif tinggi dan cenderung berubah-ubah setiap tahun. Informasi tentang curah hujan sangat penting bagi masyarakat Kota
Zaenab Kafara +2 more
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