Daniel Davis wrote:
Hi, guys,
I am trying to sample from a truncated normal/gamma distribution.
But only the far end of the distribution (where the probability is very low)
is left. e.g.
mu = - 4;
sigma = 0.1;
The distribution is Normal(mu,sigma^2) truncated on [0,+Inf];
How can I get a sample? I tried to use inverse CDF method, but got Inf as
answers. Please help me out.
You were on track, but you need more awareness of the cancellation
issues. Two hints: Use logarithms and look at the correct tail. So:
T <- pnorm(0, -4, .1, lower=F, log=T)
z <- qnorm(T-rexp(1000), -4, .1, lower=F, log=T)
hist(z)
Also, pls help me on the similar situation on gamma dist'n.
Exercise for the reader....
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