TS Module 13 Parameter estimation least squares


TS Module 13 Parameter estimation least squares

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NEAS
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TS Module 13 Parameter estimation least squares

 

(The attached PDF file has better formatting.)

 


           Least squares estimation

           Autoregressive models


 

 

Read Section 7.2, “Least squares estimation,” on pages 154-156. Know how to solve for the parameters of an autoregressive process using least squares estimation. You are not responsible for nonlinear regression (with numerical methods) for processes having a moving average component.

 

Know equations 7.2.5 on page 155 and equations 7.2.9 and 7.2.10 in the middle of page 156. These are the same results as given by the Yule-Walker equations. You need not memorize the exact formulas for small samples. If an exam problem uses these formulas, it gives them to you on the exam.

 


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