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R 语言经典实例(原书第 2 版)
book

R 语言经典实例(原书第 2 版)

by J.D. Long, Paul Teetor
June 2020
Beginner to intermediate
522 pages
9h 6m
Chinese
China Machine Press
Content preview from R 语言经典实例(原书第 2 版)
444
14
auto.arima arima 的输出都包括拟合系数和每个系数的标准误差(s.e.):
Coefficients:
ar1 ar2 ar3 ma1 ma2
-0.9569 -0.9872 -0.9247 -1.0425 0.1416
s.e. 0.0257 0.0184 0.0242 0.0619 0.0623
可以把 ARIMA 模型存储在一个对象中,然后使用 confint 函数来查找系数的置信区间:
m <- arima(x = ausbeer, order = c(3, 2, 2))
confint(m)
#> 2.5 % 97.5 %
#> ar1 -1.0072 -0.907
#> ar2 -1.0232 -0.951
#> ar3 -0.9721 -0.877
#> ma1 -1.1639 -0.921
#> ma2 0.0195 0.264
此输出说明了 ARIMA 模型的一个主要问题:并非所有系数都必然显著。如果其中一个
区间包含零,则真实系数本身可能为零,在这种情况下,该项是不必要的。
果你发现模型包含无关紧要的系数,请使用 14.19 节将其删除。
auto.arima arima 函数包含用于拟合最佳模型的有用功能。例如,你
可以强制它们包含或排除趋势成分。有关详细信息,请参阅帮助页面。
最后的告诫是:auto.arima 的风险在于它使 ARIMA 建模看起来很简单。ARIMA
模并
简单。它更多的是艺术而不是科学,自动生成的模型只是一个起点。在确定最终 ...
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Publisher Resources

ISBN: 9787111656814