Could someone help me on how to correctly try to correct this error message arning : BCa Intervals used Extreme Quantiles Some BCa intervals may be unstable Warning message: Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha) Regards IF [[alternative HTML version deleted]]
hello, The distribution of your t* seems so asymmetric that the correction for the acceleration is big and extreme t* are selected as critical values of your CI. As BCa CI have the propriety of transformation invariance, a transformation of the scale makes no sense. (you could choose transformed bootstrap-t CI). One possibility to avoid your problem with BCa Ci is to increase R, the number of replications. Try 1500 or more... hope this help, dlc> Could someone help me on how to correctly try to correct this error > message > > arning : BCa Intervals used Extreme Quantiles > Some BCa intervals may be unstable > Warning message: > Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha) > > Regards > IF >
Ivone Figueiredo wrote:> Could someone help me on how to correctly try to correct this error > message > > arning : BCa Intervals used Extreme Quantiles > Some BCa intervals may be unstable > Warning message: > Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha) > > Regards > IFNote that this is not an error, but a "just" warning. Can we assume you used boot() from package "boot"? Uwe Ligges
This is not an error. It is a warning. I sometimes get it when there are aren't enough data or there aren't enough bootstrap iterations. -roger Ivone Figueiredo wrote:> Could someone help me on how to correctly try to correct this error > message > > arning : BCa Intervals used Extreme Quantiles > Some BCa intervals may be unstable > Warning message: > Extreme Order Statistics used as Endpoints in: norm.inter(t, adj.alpha) > > Regards > IF > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html >
Maybe Matching Threads
- Help - Curvature measures of nonlinearity
- When to use bootstrap confidence intervals?
- Bootstrap BCa confidence limits with your own resamples
- bootstrapping quantile regression
- bootstrap bca confidence intervals for large number of statistics in one model; library("boot")