search for: dec96

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2010 May 04
1
How to make predictions with the predict() method on an arimax object using arimax() from TSA library
...then clarify my own issues: >library(TSA) > >data(airmiles) >air.ml=arimax(log(airmiles),order=c(0,1,1),seasonal=list(order=c(0,1,1), >period=12),xtransf=data.frame(I911=1*(seq(airmiles)==69), >I911=1*(seq(airmiles)==69)), >transfer=list(c(0,0),c(1,0)),xreg=data.frame(Dec96=1*(seq(airmiles)==12), >Jan97=1*(seq(airmiles)==13),Dec02=1*(seq(airmiles)==84)),method='ML') Ok,so I've run the above code and an object called air.ml has now been created of class type arimax.According to the documentation this is the same type as arima.So now I make a predict...
2011 Oct 02
0
Arimax First-Order Transfer Function
...how to go about this? Best wishes David example provided by Chan (2008)(airline example): air.m1=arimax(log(airmiles),order=c(0,1,1),seasonal=list(order=c(0,1,1), period=12),xtransf=data.frame(I911=1*(seq(airmiles)==69), I911=1*(seq(airmiles)==69)), transfer=list(c(0,0),c(1,0)),xreg=data.frame(Dec96=1*(seq(airmiles)==12), Jan97=1*(seq(airmiles)==13),Dec02=1*(seq(airmiles)==84)),method='ML') # Additive outliers are incorporated as dummy variables in xreg. # Transfer function components are incorporated by the xtransf and transfer # arguments. # Here, the transfer function consists of tw...
2010 May 05
0
R-help Digest, Vol 87, Issue 5
...then clarify my own issues: >library(TSA) > >data(airmiles) >air.ml=arimax(log(airmiles),order=c(0,1,1),seasonal=list(order=c(0,1,1), >period=12),xtransf=data.frame(I911=1*(seq(airmiles)==69), >I911=1*(seq(airmiles)==69)), >transfer=list(c(0,0),c(1,0)),xreg=data.frame(Dec96=1*(seq(airmiles)==12), >Jan97=1*(seq(airmiles)==13),Dec02=1*(seq(airmiles)==84)),method='ML') Ok,so I've run the above code and an object called air.ml has now been created of class type arimax.According to the documentation this is the same type as arima.So now I make a predict...