However, if you know the point(s) of truncation then you should be able to work your way back. Look for the mean and variance of a truncated normal, it will involve mu, sigma and c (point of truncation). You will need to solve for mu and sigma from two equation. For example look at the wikipedia page on normal distribution, it has the mean of a truncated normal distribution. Many standard statistics books should have the rest of the information.
On 9/12/06, Berton Gunter <[EMAIL PROTECTED]> wrote: > > > > > But my question is a bit different. What I know is the mean > > and sd after truncation. If I assume the distribution is > > normal, how I am gonna develope the original distribution > > using this two parameters? > > You can't, as they are plainly not sufficient (you need to know the amount > of truncation also). If you have only the mean and sd and neither the > actual > data nor the truncation point you're through. > > -- Bert Gunter > Genentech > > > Could anybody give me some advice? > > Thanks in advance! > > > > Jen > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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 > > and provide commented, minimal, self-contained, reproducible code. > > > > ______________________________________________ > 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 > and provide commented, minimal, self-contained, reproducible code. > -- Ritwik Sinha Graduate Student Epidemiology and Biostatistics Case Western Reserve University http://darwin.cwru.edu/~rsinha [[alternative HTML version deleted]] ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.
