Dear SciLabers: can Scilab compute the inverse of the regularized Incomplete Beta Function?
Example: in unbiased sampling in Austria with sample size N=1432, they detected n=1 infections. Therefore, expected infected fraction = 0.000698324. But this does not say much, because the sample size was small and the "success" was extremely small (fortunately). The standard procedure therefore is to derive the one-sided 95% upper confidence limit: CONF=0.95; N=1432; n=1: One-sided 95% upper confidence limit fraction = BETA.INV(CONF, n+1, N+1-n) = 0.003306121 How would I do that in Scilab? Heinz _______________________________________________ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
