A New Suggested Technique to Determine the Best Models for Time Series
published by Damascus University
in 2012
in Physics
and research's language is
العربية
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Abstract in English
The analysis of time series data is one of the most important statistical
topics, usually focuses on forecasting the future behavior of the series at a
certain time for certain purposes.
References used
Box and Jenkins, 1976. Time Series Analysis forecasting & control, Holdon- Day inc. USA
Bhanasali, R.J , 1992, Autoregressive and window Estimates of the inverse correlation function, Biometrika, vol 67, No. 3, pp. 551-556
Dankit, Nassiuma, 1993, Non-stationary Autoregressive Moving Average Processes with Infinite Variance, Journal of time series Analysis, vol 14, No. 3, pp. 297-304