In article <[EMAIL PROTECTED]>, W. D. Allen Sr. <[EMAIL PROTECTED]> wrote: >The Chi Square or Kalmogorov-Smironov equations might be >applicable.
I do not see how the Kolmogorov-Smirnov could possibly be used for a regression problem. BTW, if the model is linear in the parameters, it is just another linear model, even if non-linear in the independent variables. If one is wondering if it fits better than chance, the usual R^2 is a reasonable test, even if the significance levels might not be accurate. As for "fitting well", this is not a statistical question. >"akhan" <[EMAIL PROTECTED]> wrote in message >news:[EMAIL PROTECTED] >> Is there any statistical metod which can be applied to >test whether a >> non-linear model fit a dataset well or significantly? >> Thanks for your help or any reference. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Deptartment of Statistics, Purdue University [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558 . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
