我想对小时序列进行时间序列预测。我只需要按照我的ACF & PACF包含AR1和AR24观察。有人能指导我如何在R中指定这个选项吗?下面是我的密码。
w_fcast3_mod <- arima(w_fcast3,
order=c(24,0,0),fixed=c(NA,NA,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,NA,
transform.pars = FALSE)但是,当我试图检查摘要时,我只得到以下信息。它没有显示标准误差和系数。
摘要(W_fcast3) Min.一曲。中位平均3区。麦克斯。NA's -8688.00 -385.00 0.00 0.19 391.00 9486.00 24
发布于 2017-03-10 04:56:48
这个问题解决了,它工作得很好,我现在能够得到想要的输出。不知道是怎么回事。尽管MAPE即将到来,因为INF需要对此进行调查。调用: arima(x = w_fcast3,order = c(24,0,0),transform.pars = FALSE,fixed = c(NA,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0))
系数: ar1 ar2 ar3 ar4 ar5 ar6 ar7 ar8 ar9 ar10 ar11 ar12 ar13 ar14 ar15 ar16 ar17 ar18 0.4257 0 0 0.0.0072 0 0 0 ar20 ar21 ar22 ar23 ar24截距0 0 0 -0.4938 0.1531 s.e.0 0 0 0.0072 4.8476
估计为252262:对数似然= -72047.16,aic = 144102.3
训练集错误度量: ME RMSE MAE MAPE MASE ACF1训练集-0.04815756 502.2573 359.4868 NaN Inf 0.7315617 0.197388
https://stackoverflow.com/questions/42701208
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