Mr Ulrich, No it's only to make a Chi square test on residuals against a Chi square value. This test is needing to prove if the model i have find by least square method is valid or not. Then i've to verify is the residual distribution is Normal or not. I've to do a Chi square test. But in this test we have to find different frequencies in different intervals. I' dont know how to construct this columns, how many columns. How to determine the size of this columns. How to calculate the frequency in different columns.
If someone know it particularly for the residuals. Thank you. Laurence -- "Rich Ulrich" <[EMAIL PROTECTED]> a �crit dans le message de news: [EMAIL PROTECTED] > On Tue, 2 Apr 2002 16:24:30 +0200, "Laurence" <[EMAIL PROTECTED]> > wrote: > > > Hi, > > > > Residuals coming from regression. > > > > I look for a method explaining ho how to make a chi-square on residuals > > (Without ploting anything) to prove or not the normality of the > > distribution. > > Theory works in just the one direction: > there might exist a test like you want > that gives evidence *against* the normality of residuals. > You probably have to be more specific about what you want. > > If you want a *test* , which is 'fixed' by > size (alpha) or chi-square value, > then it is almost assured of 'rejecting normality' > when the N gets large enough. Is that okay? > > > > > Programs or algorithms are welcome. > > > > It is my impression that the efficient ones > will be application-dependent. > > You might look up 'standardized residuals' > and review values in your old sets of data. > > Find the single values or sets of values > that concern you, and then find a rule of thumb > that picks them out (depending on N, if N varies). > > -- > Rich Ulrich, [EMAIL PROTECTED] > http://www.pitt.edu/~wpilib/index.html . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
