Results 31 to 40 of about 474,013 (158)
The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means.
Erna Tri Herdiani +1 more
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Autoregressive moving average model for matrix time series
In the paper, the autoregressive moving average model for matrix time series (MARMA) is investigated. The properties of the MARMA model are investigated by using the conditional least square estimation, the conditional maximum likelihood estimation, the ...
Shujin Wu, Ping Bi
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Process monitoring plays a vital role in ensuring quality stability, and, operational efficiency across fields such as manufacturing, finance, biomedical science, and environmental monitoring.
Jun-Hao Lu, Chang-Yun Lin
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The paper deals with computation techniques applied in preprocessing of gravity data, which are based on time series analysis by using mathematical and statistical smoothing techniques such as moving average, moving median, cumulative and moving average,
Jana Izvoltova +3 more
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Mixed Control Charts Using EWMA Statistics
In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution.
Muhammad Aslam +3 more
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We introduce a moving average summability method, which is proved to be equivalent with the logarithmic $\ell$-method. Several equivalence and Tauberian theorems are given. A strong law of large numbers is also proved.
Bingham, N. H., Gashi, Bujar
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Moving Average Trading Rules for NASDAQ Composite Index
This paper tests a few moving average technical trading rules for the NASDAQ Composite and Goldman Sack commodity indexes from 1972 to 2015. Our results indicate that moving average rules do exhibit strong predictive power for NADSAQ composite index but ...
Chien-Ping Chen
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PERAMALAN MENGGUNAKAN METODE VECTOR AUTOREGRESSIVE MOVING AVERAGE (VARMA)
Forecasting technique is an important component of decision making because it aims to predict values of data in the future. Many existing forecasting methods only predict single variable data and thus do not consider correlation between variable in a ...
Wiwik Anggraeni, Leivina Kartika Dewi
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This 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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Technical analysis rely on assumption that analysis of past market performance provides possibility for proper stock price forecasting, in particular by identification of buy and sell signals.
Dariusz Letkowski
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