Dear friends
Lines from Fullprof manual
Square-ch= suamation {wi*square(Yi-yci)}
where wi- reciprocal of the square of variance of the observation Yi. I
did not understand the meaning of Wi and its relation with variance.
How we will calulate Wi then.I know from basics of least sqaure refinement that the Wi is needed to facilate the dependance of the different variables on the function. How this basic is related here? Please help. Also, in general how we will calculate wi regards Devidas
