Hello,
I am trying to compute the density of a variable k that is either (1)
Normally distributed; (2) Log-Normally distributed; or (3) follows
proportional error distribution. I tried to search R-help and the answer for
normal distribution was easy to find (please see 1c). I am not sure if my
formula for dlnorm is correct (please see 2c below)? I really don't know
what function to use for the density of k with a proportional error
distribution.

Please help,
Mahesh


1.       Normal distribution:

*a)   *k=qk+h, hÎN(0, w)

*b)   *then kÎN(qk, w)

*c)    *density of a variable k: dnorm(x,mean=qk,sd=w,log=FALSE) #x: vector
of quantiles



2.       Log-Normal distribution:

*a)   *k=qk exp(h), hÎN(0, w)

*b)   *then kÎLN(qk, w)

*c)    *density of a variable k: dlnorm(x,meanlog=log(qk),sdlog=w,log=FALSE)
*# Is sdlog correct?????*

**

3.       Proportional Error distribution

*a)   *k=qk (1+h), hÎN(0, w)

*???? *

	[[alternative HTML version deleted]]

