Add to ORKGAn original method of calculating the weight factors for moving averaging is suggested The advantage of the proposed method in comparison with the standard smoothing is discussedSmoothing; polygonal numbers; weight factors; the moving averagin
Stock market prices are affected by industry performance, company news, and world news, political an...
The separation of the trend from random fluctuations (noise) is a major objective in technical analy...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...
Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock pri...
Double Exponential Smoothing is an improvement of Simple Exponential Smoothing, also known as Expone...
Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock pri...
This thesis focuses on time series analysis usikng methods based on moving averages, especially the ...
A Monte-Carlo weighted moving average procedure was developed for smoothing time series data. The ap...
Forecasting is inevitable process of modern day life. It is about predictions of the future based on...
Moving Average is one of widely known technical indicator used to predict the future data in time se...
Moving Average is one of widely known technical indicator used to predict the future data in time se...
Taking some form of moving averages yields a smoothing of time series which is delayed. However, tak...
Timely identification of turning points in economic time series is important for plan-ning control a...
A fundamental problem in financial trading is the correct and timely identification of turning point...
Timely identification of turning points in economic time series is important for planning control ac...
Stock market prices are affected by industry performance, company news, and world news, political an...
The separation of the trend from random fluctuations (noise) is a major objective in technical analy...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...
Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock pri...
Double Exponential Smoothing is an improvement of Simple Exponential Smoothing, also known as Expone...
Smoothing time series allows removing noise. Moving averages are used in finance to smooth stock pri...
This thesis focuses on time series analysis usikng methods based on moving averages, especially the ...
A Monte-Carlo weighted moving average procedure was developed for smoothing time series data. The ap...
Forecasting is inevitable process of modern day life. It is about predictions of the future based on...
Moving Average is one of widely known technical indicator used to predict the future data in time se...
Moving Average is one of widely known technical indicator used to predict the future data in time se...
Taking some form of moving averages yields a smoothing of time series which is delayed. However, tak...
Timely identification of turning points in economic time series is important for plan-ning control a...
A fundamental problem in financial trading is the correct and timely identification of turning point...
Timely identification of turning points in economic time series is important for planning control ac...
Stock market prices are affected by industry performance, company news, and world news, political an...
The separation of the trend from random fluctuations (noise) is a major objective in technical analy...
Abstract. Focusing on the idea that the equation of exponential smoothing method (ESM) is equivalent...