Hi: Look at Rousseeuw, P. J. and Christmann, A. (2003) Robustness against separations and outliers in logistic regression, Computational Statistics & Data Analysis, Vol. 43, pp. 315-332
Juan Carlos Correa, Ph.D. Escuela de Estadistica Universidad Nacional- Sede Medellin Medellin COLOMBIA On Wed, 10 Sep 2003, Christoph Lehmann wrote: > Dear R experts > > I have the follwoing data > V1 V2 > 1 -5.8000000 0 > 2 -4.8000000 0 > 3 -2.8666667 0 > 4 -0.8666667 0 > 5 -0.7333333 0 > 6 -1.6666667 0 > 7 -0.1333333 1 > 8 1.2000000 1 > 9 1.3333333 1 > > and I want to know, whether V1 can predict V2: of course it can, since > there is a perfect separation between cases 1..6 and 7..9 > > How can I test, whether this conclusion (being able to assign an > observation i to class j, only knowing its value on Variable V1) holds > also for the population, our data were drawn from? > > Means, which inference procedure is recommended? Logistic regression, > for obvious reasons makes no sense. > > Many thanks for your help > > Christoph > -- > Christoph Lehmann <[EMAIL PROTECTED]> > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
