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382.536  Articles
1 of 38.255 pages  |  10  records  |  more records»
The subject of this study is the indirect effects of the incomes obtained from privatization applications in Turkey economy on the economic growth by effecting the budget position and/or financial behavior of the public. In this research, since the privat... see more

This study aimed to employ the Times Series Factor Analysis (TSFA) to measure liquidity in stock markets. Based on this model, was used daily data of stocks traded on BM&FBOVESPA of five liquidity proxies for exemplifying the factorial construction. How f... see more

We introduce a set of time series analysis indicators under an event based framework of directional changes and overshoots.  Our aim is to map continuous financial market price data into the so-called Directional-Change (DC) Framework- a state based ... see more

      Abstract— Recently, many soft computing methods have been used and implemented in time series analysis. One of the methods is fuzzy hybrid model which has been designed and developed to improve the accuracy of time series pr... see more

The new approach to the recognition mechanism of the time series generating process based on the results of the entropy and the recurrent analysis is proposed. The comparative analysis of the realizations properties of chaotic and stochastic pro... see more

The time series content information about the dynamic behavior of the system under study. This behavior could be complex, irregular and no lineal. For this reason, it is necessary to study new models that can solve this dynamic more satisfactorily. In thi... see more

In the last two decades, advanced differential interferometric synthetic aperture radar (A-DInSAR) techniques have experienced significant developments, which are mainly related to (i) the progress of satellite SAR data acquired by new missions, such as C... see more

Time series clustering algorithms have been widely used to mine the clustering distribution characteristics of real phenomena. However, these algorithms have several limitations. First, they depend heavily on prior knowledge. Second, the algorithms do not... see more

An accurate cost estimate not only plays a key role in project feasibility studies but also in achieving a final successful outcome. Conventionally, estimating cost typically relies on the experience of professionals and cost data from previous projects. ... see more

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