Hi, Peter: Please see my reply of a few minutes ago subject: exact goodness-of-fit test. I don't know Rayner and Best, but the same method, I think, should apply. spencer graves
Peter Ho wrote: > HI R-users, > > I am trying to repeat an example from Rayner and Best "A contingency > table approach to nonparametric testing (Chapter 7, Ice cream example). > > In their book they calculate Durbin's statistic, D1, a dispersion > statistics, D2, and a residual. P-values for each statistic is > calculated from a chi-square distribution and also Monte Carlo p-values. > > I have found similar p-values based on the chi-square distribution by > using: > > > pchisq(12, df= 6, lower.tail=F) > [1] 0.0619688 > > pchisq(5.1, df= 6, lower.tail=F) > [1] 0.5310529 > > Is there a way to calculate the equivalent Monte Carlo p-values? > > The values were 0.02 and 0.138 respectively. > > The use of the approximate chi-square probabilities for Durbin's test > are considered not good enough according to Van der Laan (The American > Statistician 1988,42,165-166). > > > Peter > -------------------------------- > ESTG-IPVC > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Spencer Graves, PhD Senior Development Engineer PDF Solutions, Inc. 333 West San Carlos Street Suite 700 San Jose, CA 95110, USA [EMAIL PROTECTED] www.pdf.com <http://www.pdf.com> Tel: 408-938-4420 Fax: 408-280-7915 ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html