用R做时间序列 高人在哪

下列数据是从1980年一月到1995年7月的澳大利亚酒水销售量，数据给出了每个月的 白酒和红酒销售的数目。问题1，怎么确定ＡＲＩＭＡ模型（用R~~~）用白酒和红酒分别建模
问题2，estimate  spectral density function to determine periodic properties of these series
问题3， estimate Cross-correlation function and cross-spectral density function to determine how these two series are inter related.

请把答案发送至shaneq007@gmail.com邮箱，谢谢

回答得好有追加哦

貌似60论坛币有点少，追加一倍，

哈哈。问题是你得价格低了很多。不是这个一两倍所决定的

3# hehewin 那5倍够么？

大侠们帮帮忙嘛， 解出来的給300人民币，好不好？

Australian Red wine data is a very typical data on time series of seasonal variation.

Actually I posted a lecture notes used in my UG study, there was an example about this data in R.

U can find that lecture note here.

I think only ARIMA model available in that lecture notes, as it's an applied course.

For spectral analysis I think you can find functions in R itself.

7# windlove thank you, the question is these R functions i found cant match the formula i wanted,

for the arima model, the formula should be determined by looking at the ACF, PACF, and lag difference time series.

arima( order = P D Q, seasonal order =  p d q)

as I remembered, the arima should look like this.

But You have to determine those orders by your self.

It's nice that you guys talked in English.