How to Calculate Percentage of fit for a random data

I tried to fit a model (AR model) for a particular set of 1-D data
points. Now I need to compare how far the output of this model
coincides with the original data. What are the methods available to do
so.

.

Relevant Pages

  • How to Calculate Percentage of fit
    ... I tried to fit a model for a particular set of 1-D data ... Now I need to compare how far the output of this model ... coincides with the original data. ...
    (sci.stat.edu)
  • ride the old obvious use
    ... What Khalid's brilliant isolation balances, ... My parental month won't compare before I deserve it. ... out quote the parents. ... We present the present fit. ...
    (sci.crypt)
  • Re: model identification
    ... I calculated the Box-Jenkins model concerning the input u1 and the output y looking for the best fit. ... and then compare this Ytotwith my measured data. ... simply plot them together using PLOT. ...
    (comp.soft-sys.matlab)
  • Re: model identification
    ... after I sum only the functions which deal with the data this way ... note that only one COMPARE ... Use the model for which the fit value is maximum. ... RESID) after estimation and based on those results slowly increase the ...
    (comp.soft-sys.matlab)
  • Re: model identification
    ... once we calculate all the possible fits using compare how can we choose the orders which provide the best fit? ... RESID) after estimation and based on those results slowly increase the ... fit to an independent data set using COMPARE. ... output data and i should identify a box-jenkins model,which,given the ...
    (comp.soft-sys.matlab)