نتایج جستجو برای: candlestick charts

تعداد نتایج: 16055  

2005
Yipeng Liu

With wide applications of Turbo Principle in communications engineering, the EXIT Charts (Extrinsic Information Transfer Charts) has been a powerful tool to visualize the convergence behavior of iterative decoding process based on mutual information. Within this report, an introduction to EXIT Charts, its background, properties and applications are presented to allow the audience be familiar wi...

Journal: :Applied sciences 2021

The interdisciplinary nature of sports and the presence various systemic non-systemic factors introduce challenges in predicting match outcomes using a single disciplinary approach. In contrast to previous studies that use performance metrics statistical models, this study is first apply deep learning approach financial time series modeling predict outcomes. proposed has two main components: co...

Journal: :Journal of geomagnetism and geoelectricity 1987

Journal: :Dialogue 2022

I pause on the path, drop my sticks,and bend to read them like runes.Tell stars, They said. So do daily—I chart their breathless turning asI gather berries in bush—Each twig's finger marks celestial points—North is Reckoner's Compass. South,Theory's Backbone. West, God's Thumbs,and East, Mount Moriah—Yet, see more:Beyond—within—the navigable wildernessabove, 18 quasars guard edge of theuniverse...

Abdollah Aghaie Shervin Asadzadeh Su-Fen Yang

A review of the literature on cause selecting charts (CSCs) in multistage processes is given, with a concentration on developments which have occurred since 1993. Model based control charts and multiple cause selecting charts (MCSCs) are reviewed. Several articles based on normally and non-normally distributed outgoing quality characteristics are analyzed and important issues such as economic d...

2007
Willem Albers Wilbert C. M. Kallenberg

A serious drawback of classical control charts is their high sensitivity to deviations from normality. By now, many alternative procedures, often of a nonparametric nature, have been proposed. A danger with these competitors is that unrealistically large Phase I samples might be needed. This can be avoided by using groups of, rather than individual (IND), observations during Phase II. A recentl...

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