Hi
I performed a regression analysis on a model nonlinear in parameters. The
function is:
q = ( k* P^n ) + (k2 * P2^n2)
where P and P2 are independent variables, k, n, k2, n2 are parameters.
The estimates and their variances can be obtained, as well as correlation
between any two parameters.
The question is: how do I estimate the standard error in the first term of
the equation? That is, what is the error in estimating w = k* P^n?
Notes: The estimated standard error in q turns out to be small. But
variances in parameter estimates are large. The correlations are very high,
close to -1.
Thanks in advance.
Jiwu Rao
[EMAIL PROTECTED]
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