Of course, in MLE, if we collect more and more observations data, MLE will perform better and better.
But is there a way to find a bound on parameter estimate errors in order to decide when to stop collect data/observations, say 1000 observations are great, but 500 observations is good enough... Thanks! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
