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In the present paper, we propose a new approach to investigate the logistic function, which is commonly used in mathematical models in economics and management. The approach is based on indicating in a given time series, having a logistic trend, some characteristic points corresponding to zeroes...
Persistent link: https://www.econbiz.de/10011855236
uses daily Taiwan Stock Exchange Capitalization Weighted Stock Index as the forecasting target. Regime switches in in … applied to other time series, such as Dow Jones or NASDAQ. Originality/value – Previous studies contribute to the forecasting … of regime switches. The forecasting results are validated with the real event. One of the forecasted regime switches …
Persistent link: https://www.econbiz.de/10014933345
Purpose – The purpose of this paper is to propose an occurrence-based model to improve the forecasting of regime … relationships are taken into account when forecasting. Taiwan Stock Exchange Capitalization Weighted Stock Index is taken as the … forecasting target. Findings – Due to the consideration of occurrences of relationships in forecasting, the out of sample …
Persistent link: https://www.econbiz.de/10014936292
Purpose – The purpose of this study is to propose the time series decomposition approach to analyze and predict the failure data of the repairable systems. Design/methodology/approach – This study employs NHPP to model the failure data. Initially, Nelson's graph method is employed to...
Persistent link: https://www.econbiz.de/10014800635
Purpose – Analyzing and forecasting reliability is increasingly important for enterprises. An accurate product … reliability forecasting model cannot only learn and track a product's reliability and operational performance, but can also offer …
Persistent link: https://www.econbiz.de/10014802361
the field of the electricity price forecasting. Thus, it gives a new impact for further research enabling development of …
Persistent link: https://www.econbiz.de/10014773862
behaviors in any given situation. This work presents several scalable frameworks for modeling and forecasting agent behavior …, particularly in the realm of international security dynamics. A probabilistic logic formalism for modeling and forecasting behavior … of this problem, forecasting methods are also introduced that operate directly on time series data, rather than an …
Persistent link: https://www.econbiz.de/10009450648
of multi-channel customer contact, organizational decision-makers often rely on robust but simplistic forecasting methods …. Although forecasting literature indicates that incorporating additional information into time series predictions adds value by … for call center arrivals' forecasting that is able to capture the dynamics of a time series and to include contextual …
Persistent link: https://www.econbiz.de/10014501665
This study was designed: (a) to investigate a simple neural-network solution to forecasting the special class of time … special class of linear time series and that the two-layered network can be a useful forecasting alternative to the widely …
Persistent link: https://www.econbiz.de/10005358651
Persistent link: https://www.econbiz.de/10015372011