- 6

- 0

## Main Question or Discussion Point

Hi,

I have a set of datapoints (x_i,y_i) and I am gonna make a best fit to y = c*Exp(a/x)

Making the fit isn't the problem (Mathematica, etc. can handle this), but what I need is the error on a.

What I have done so far is something like this:

P(c,a | {x_i,y_i} ) = k * P( {x_i,y_i} | c,a ) using Bayes.

And then

P({(x_1,y_1),(x_2,y_2),...}|c,a) = product of ( P(x_i,y_i | c,a) ) for all i's.

which is proportional with

product of ( P(y_i | x_i, c,a) )

But I can't get any further than this :)

Can any one help me with this ?

Thanks in advance

I have a set of datapoints (x_i,y_i) and I am gonna make a best fit to y = c*Exp(a/x)

Making the fit isn't the problem (Mathematica, etc. can handle this), but what I need is the error on a.

What I have done so far is something like this:

P(c,a | {x_i,y_i} ) = k * P( {x_i,y_i} | c,a ) using Bayes.

And then

P({(x_1,y_1),(x_2,y_2),...}|c,a) = product of ( P(x_i,y_i | c,a) ) for all i's.

which is proportional with

product of ( P(y_i | x_i, c,a) )

But I can't get any further than this :)

Can any one help me with this ?

Thanks in advance