Results 21 to 30 of about 4,340,622 (287)
Bayesian Identification of Seasonal Moving Average Models [PDF]
The Egyptian Statistical Journal, 2011 This study approaches the Bayesian identification of seasonal moving average processes using an approximate likelihood function and a normal gamma prior density.
Samir M.Shaarawy +2 more
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Self-Attentive Moving Average for Time Series Prediction
Applied Sciences, 2022 Time series prediction has been studied for decades due to its potential in a wide range of applications. As one of the most popular technical indicators, moving average summarizes the overall changing patterns over a past period and is frequently used ...
Yaxi Su, Chaoran Cui, Hao Qu
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Forecasting domestic credit growth based on ARIMA model: Evidence from Vietnam and China [PDF]
Management Science Letters, 2019 Credit is an economic category and is also a product of the commodity economy, which exists through many socio-economic forms to promote economic growth. Therefore, the objective of this paper is to analyst, compare and forecast domestic credit growth in
Doan Van Dinh
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The Burr XII Autoregressive Moving Average Model
Computer Sciences & Mathematics Forum, 2023 The present work proposes a new class of model for random variables with support in the positive real line, this model explains the conditional quantile and is an alternative for modeling data that indicate asymmetric behavior and heavy tails. We present
Fernando José Monteiro de Araújo +2 more
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Indicators of Technical Analysis on the Basis of Moving Averages as Prognostic Methods in the Food Industry [PDF]
Journal of Competitiveness, 2018 Competitiveness is an important factor in a company’s ability to achieve success, and proper forecasting can be a fundamental source of competitive advantage for an enterprise.
Anna Kolkova
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Optimising the smoothness and accuracy of moving average for stock price data
Technological and Economic Development of Economy, 2018 Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock price series and forecast trend direction. We propose optimised custom moving average that is the most suitable for stock time series smoothing.
Aistis Raudys, Židrina Pabarškaitė
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Environmental & Socio-economic Studies, 2016 Several methods have been used to determine trends in hydrogeochemical elements. This study is concerned with the ordinary 3-period moving averages, the 3-period moving median and the exponential smoothing method.
Sołtysiak Marek, Dąbrowska Dominika
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Majorization involving the cyclic moving average
Journal of Inequalities and Applications, 2018 We solve an open problem on some majorization inequalities involving the cyclic moving average.
Tao Zhang +3 more
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An Exponential Moving Average algorithm [PDF]
2012 IEEE Congress on Evolutionary Computation, 2012 Techniques to reduce the search space when an optimizer seeks an optimal value are studied in this paper. A new mutation technique called the “Exponential Moving Average” algorithm (EMA) is introduced. The performance of EMA algorithms is compared to two other similar Computational Intelligence (CI) algorithms (an ordinary Evolutionary Algorithm (EA ...
David Haynes 0001 +2 more
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FORECASTING DRUG DEMAND USING THE SINGLE MOVING AVERAGE 3 PERIODE AT UGM ACADEMIC HOSPITAL
Jurnal Farmasi Sains dan Praktis, 2022 Drug management at the Academic Hospital of Gadjah Mada University found that the damaged and expired drugs amounted to 4.71% and the dead stock was 7.89%.
Ade Puspitasari +3 more
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