Simulating and Forecasting Periodic Behavior of a Discrete Time Series Using the Moving Average Method
A new method for simulating and forecasting a discrete time series using the moving average method is proposed and substantiated. The idea of the method is to use the latus rectum as a quantitative estimator of the shape of a parabolic segment of a time series trend. Since the actual number of value...
Main Authors: | Dmytrenko Oleksandr V., Ivashchenko Peter A. |
---|---|
Format: | Article |
Language: | English |
Published: |
Research Centre of Industrial Problems of Development of NAS of Ukraine
2019-05-01
|
Series: | Bìznes Inform |
Subjects: | |
Online Access: | http://www.business-inform.net/export_pdf/business-inform-2019-5_0-pages-106_110.pdf |
Similar Items
-
Substantiation for Using the Moving Focus Method to Simulate and Predict the Time Series Form
by: Dmytrenko Oleksandr V., et al.
Published: (2019-09-01) -
Optimising the smoothness and accuracy of moving average for stock price data
by: Aistis Raudys, et al.
Published: (2018-05-01) -
Modified Moving Average (MoMoA) Untuk Peramalan Penjualan Dengan Studi Kasus Sistem Retail
by: Ellysa Tjandra, et al.
Published: (2021-02-01) -
Majorization involving the cyclic moving average
by: Tao Zhang, et al.
Published: (2018-06-01) -
MAKING MOST OF MOVING AVERAGE MODELS DURING STOCK MARKET ANALYSIS – SELECTION OF THE MODEL AND TIME PERIOD
by: Dariusz Letkowski
Published: (2014-02-01)