"Horst Kraemer" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] > On Sat, 24 Apr 2004 08:02:25 +0200, "Konrad Den Ende" > <[EMAIL PROTECTED]> wrote: > > > Suppose you know that a process follows a function > > y(t) = a + b e^-x, t >= 0. > > y(t) = a + b e^-t, t >= 0. > > > ALso, suppose you have following data. > > t: { 0, 1, 2, 3 } > > y: { 2.2, 1.4, 0.87, 0.44 } > > > > How does one estimate the values of a and b? > > Isn't this a simple least square problem which reduces to a linear > regression y = a + b*x for > > x: { 1 , e^-1, e^-2 ,e^-3 } > y: { 2.2, 1.4, 0.87 ,0.44 } > > > -- > Horst >
Horst, You're right. I read over and saw a functional form so similar to one I've worked with for a while (a + b * exp (c x)) that I immediately put a constant in the exponent. Sorry for the earlier wrong reply. Justin Davis . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
