Results 221 to 230 of about 145,010 (267)
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2019
Chapter 2 introduces ARIMA algebra. With a few exceptions, this material mirrors the authors’ earlier work. The chapter begins with stationary time series processes – white noise, moving average (MA), and autoregressive (AR) processes – and moves predictably to non-stationary and multiplicative (seasonal) models. Stationarity implies
David McDowall +2 more
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Chapter 2 introduces ARIMA algebra. With a few exceptions, this material mirrors the authors’ earlier work. The chapter begins with stationary time series processes – white noise, moving average (MA), and autoregressive (AR) processes – and moves predictably to non-stationary and multiplicative (seasonal) models. Stationarity implies
David McDowall +2 more
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2021
This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
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Comparison of Drought Forecasting Using ARIMA and Empirical Wavelet Transform-ARIMA
2017Drought forecasting is important in preparing for drought and its mitigation plan. This paper focuses on the investigation of ARIMA and Empirical Wavelet Transform (EWT)-ARIMA in forecasting drought using Standard Precipitation Index (SPI). EWT is employed to decompose the time series into 4 modes. SPI of 3, 6, 9, 12 and 24 months were used.
Muhammad Akram bin Shaari +2 more
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2019
Published as part of Opitz, Weston, 2019, Descriptions of new genera and new species of Western Hemisphere checkered beetles (Coleoptera, Cleroidea, Cleridae), pp.
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Published as part of Opitz, Weston, 2019, Descriptions of new genera and new species of Western Hemisphere checkered beetles (Coleoptera, Cleroidea, Cleridae), pp.
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Comparison Between ARIMA and EEMD+ARIMA Models in Forecasting Electricity Consumption
Fusion: Practice and ApplicationsAccurate forecasting of future electricity consumption is necessary to create a satisfactory design for an electricity distribution system. To enhance forecasting accuracy, autoregressive integrated moving average (ARIMA) was compared with hybrid of ensemble empirical mode decomposition (EEMD) plus autoregressive integrated moving average (ARIMA ...
Abdulsalam Elnaeem .., Ani Bin Shabri
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Well production forecasting based on ARIMA-LSTM model considering manual operations
Energy, 2021Hai Sun, Xia Yan, Zhixue Sun
exaly
EPSTO-ARIMA: Electric Power Stochastic Optimization Predicting Based on ARIMA
2021 IEEE 9th International Conference on Smart City and Informatization (iSCI), 2021Yuqing Xu +3 more
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Türkiye Konut Fiyat Endeksi Öngörüsü: ARIMA, Rassal Orman ve ARIMA-Rassal Orman
2019Amaç- Bu çalışmanın amacı, Makine Öğrenmesi yöntemlerinden yararlanarak geliştirilen modellerin zaman serilerinin öngörüsünde alternatif bir yöntem olup olmadığının incelenmesidir.Yöntem- Geleneksel olarak, Otoregresif Entegre Hareketli Ortalama (ARIMA) modeli, zaman serisi tahmininde en yaygın kullanılan doğrusal modellerden biridir.
AKAY, Ebru Çaglayan +3 more
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