Question

我希望我能在正确的地方提出这个问题：我想要预测一些与时间相关的事件，以便它们是一致的。有人可以解释一下如何在SAS中做到这一点吗？

我在SAS工作，而且我已经尝试过对此进行研究，但对我来说，矩阵代数真的很可怕（我尝试了类似于同期等级的游戏 - 理论上的最佳和解）时间序列预测＆＃39;）。我只是一个凡人，我不知道如何将这些公式纳入我的SAS编码。

此问题的示例来自＆＃39; sashelp.citiday＆＃39;。如果我创建一个数据集，根据时间运行一些独立的预测，它们就不能累加到总数。我真的希望他们加起来。我怎样才能做到这一点？

谢谢！

以下代码：

data temp;
set sashelp.citiday;
format WeekDay $9.;
    /* Simplify some variables */
count1=round(SNYDJCM,1);
count2=round(SNYSECM,1);
count3=round(DFXWUK90,1);
    /* Create a 'Total' column */
total=sum (of count1-count3);
    /* create weekday */
day=datdif("1jan1988"d,date,'actual');
    if day=1 then weekday="Friday"; 
    if day=2 then weekday="Saturday"; 
    if day=3 then weekday="Sunday";
    if day=4 then weekday="Monday";
    if day=5 then weekday="Tuesday";
    if day=6 then weekday="Wednesday";
    if day=7 then weekday="Thursday";
        if weekday=. then do;   
            if round(day/7)=day/7 then weekday="Thursday"; 
            else if round((day-1)/7)=(day-1)/7 then weekday="Friday"; 
            else if round((day-2)/7)=(day-2)/7 then  weekday="Saturday"; 
            else if round((day-3)/7)=(day-3)/7 then  weekday="Sunday"; 
            else if round((day-4)/7)=(day-4)/7 then  weekday="Monday"; 
            else if round((day-5)/7)=(day-5)/7 then  weekday="Tuesday"; 
            else if round((day-6)/7)=(day-6)/7 then  weekday="Wednesday"; 
        end;
    /* Create Month */
Month=month(date);
keep date count1-count3 total day weekday month;
run;

%macro prediction(indata,outcome,predlab,outdata);
proc hpgenselect data=&indata.;
class weekday month;
model &outcome.=day weekday month weekday*month day*day /dist=nb ;
selection  method=backward  (choose=aic) hierarchy=single details=all ;
output out=&outdata. p=&predlab.;
run;
%mend prediction;

%prediction(temp,count1,pred1,forecast);
%prediction(forecast,count2,pred2,forecast);
%prediction(forecast,count3,pred3,forecast);
%prediction(forecast,total,predT,forecast);

data forecast;
set forecast;
sumpred=sum(of pred1-pred3);
diff=sumpred-predT;
run;

SAS中的分层预测协调

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