BookmarkSubscribeRSS Feed
🔒 This topic is locked. We are no longer accepting replies to this topic. Need further help? Please sign in and ask a new question.
WWD
Obsidian | Level 7 WWD
Obsidian | Level 7

In Module 3, there is a demonstration titled “Demo: Estimation, Residual Analysis and Goodness of Fit”.  At the very end of the video, there are two estimates produced by SAS:

 

 

   Model for Variable kW_Gen

       0.520193

 

    Autoregressive Factors

       Factor 1 = 1-0.708913B**(1)

 

I can find earlier in the output the estimate of mu.  In that same area, the estimate for the AR1,1 term is 0.708913.

 

Earlier in the course, AR(1) is:

 

      Y_t = mu(1-phi_1) + phi_1*Y_(t-1) + e_t

 

My question is what does Factor 1 represent, in general, and what is “B**(1)” in particular?

 

Thank you.

2 REPLIES 2
Cynthia_sas
SAS Super FREQ
Hi:
Thanks for clarifying your question. The instructors who monitor this forum will take a look and respond.
Cynthia
Cynthia_sas
SAS Super FREQ

Hi:

  In this demo, the Autoregressive Factor is shown at the end of the output.

AR_factor.png.jpg

 

  The instructor for this class said that

. "The Autoregressive factors writes the AR part of the model in ‘factored form’. You can think of multiplying the (1 – 0.7B**(1)) by y to yield the AR part of the model: y(t) – 0.7* y(t-1). In other words, the B is a backshift operator."

 

  Hope this helps explain the notation in the output.

 

Cynthia