Results 31 to 40 of about 72,436 (339)
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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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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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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Peramalan Return Saham Menggunakan Model Integrated Moving Average
Jambura Journal of Mathematics, 2023 A popular investment that is in great demand among investors is stocked. Stocks are another type of financial instrument offering returns but carrying a higher risk level. Price time series are more difficult to manage than return time series.
Rizki Apriva Hidayana +1 more
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Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter [PDF]
, 2006 Long memory processes are widely used in many scientific fields, such as economics, physics, and engineering. Change point detection problems have received considerable attention in the literature because of their wide range of possible applications ...
Ko, Kyungduk
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Parameters Estimate of Autoregressive Moving Average and Autoregressive Integrated Moving Average Models and Compare Their Ability for Inflow Forecasting [PDF]
Journal of Mathematics and Statistics, 2012 In this study the ability of Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA) models in forecasting the monthly inflow of Dez dam reservoir located in Teleh Zang station in Dez dam upstream i s estimated. ARIMA model has found a widespread application in many practical sciences. In addition, dam reservoir inflow
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Forecasting of Indian tourism industry using modeling approach
MethodsXCurrently, India has become one of the largest economies of the world in which tourism and hospitality have significantly contributed; however, the growth rate of tourism industry has been greatly affected during the COVID-19 pandemic.
Renuka Devi +3 more
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ANALISIS PREDIKSI JUMLAH PENDUDUK DI KOTA PASURUAN MENGGUNAKAN METODE ARIMA
Barekeng, 2021 Laju pertumbuhan penduduk di Kota Pasuruan pada tahun 2019 sebesar 0.68% dengan jumlah penduduk 200.422 jiwa. Tingginya pertumbuhan penduduk dapat mempengaruhi kepadatan penduduk.
Ilmiatul Mardiyah +4 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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Scientific ReportsThis research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on ...
Trilok Nath Pandey +3 more
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