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Predicting Inflation Rates Of Nigeria Using A Seasonal Box-Jenkins Model

机译:使用季节性Box-Jenkins模型预测尼日利亚的通货膨胀率

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Time series analysis of Nigerian monthly Inflation Rates (INFL) Data is done. It is observed that it is seasonal. Based on its autocorrelation structure as depicted by the correlogram, the multiplicative seasonal autoregressive integrated moving average (ARIMA) model, (1, 1, 0)x(0, 1, 1)12, is fitted to the series. The model is shown to be adequate and the 2012 forecasts are obtained on the basis of it. These forecasts are shown to agree closely with the observations.
机译:完成了尼日利亚月度通货膨胀率(INFL)数据的时间序列分析。观察到这是季节性的。基于相关图所示的自相关结构,将乘积季节性自回归综合移动平均(ARIMA)模型(1,1,0)x(0,1,1)12拟合到该序列中。该模型被证明是适当的,并基于此模型获得了2012年的预测。这些预测显示与观测值非常一致。

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