Erika, If you use a nonlinear regression package to fit your curve to existing data, it should compute standard errors for each parameter estimate. Ideally, I would just report these; certainly don't take 1/k as the "standard error of turnover time," because this is a nonlinear transformation. Perhaps calculate
1/k (turnover time estimate) 1/(k+se(k)) (turnover estimate plus error) 1/(k-se(k)) (turnover estimate minus error) and report those. Regards, Ben On 4/13/07 5:50 PM, "Erika Marín-Spiotta" <[EMAIL PROTECTED]> wrote: > Hello, I have a quick question on how to convert the standard error of a > slope (k) of an equation of the type: > ln (y) = b + kx > where y = fraction of mass remaining > x = time in years, and > where 1/k gives you a turnover time in years. > In other words, how do you report standard error of turnover time?
