calculate the left-side noparametric confidence intervals

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Currently, I have a set of data in 1-D, and use KDE to predict the distribution. I wander to obatin: 90% left-side confidence interval we created greater than a interger(e.g.,-100)
data set : X --> P(X>=-100)
i suppose it need to use hypothesis testing. the distribution estimation i use Gauss-based KDE, is it possible we use the same as nomoral distribution appraoch to calculate it?
how can i deal with it? thanks
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cindy
cindy 2011-5-4
and also I found the code here.
http://www.mathworks.com/matlabcentral/fileexchange/27067-non-parametric-errorconfidence-intervals
but I am not sure it is suitable or not?

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