I just have of about 14 points as a data
I need to fiting them in a polynomial called Redlich- kister
in the form
y=x(1-x)∑(a0+a1(2x-1)+a2(2x-1)^2+a3(2x-1)^3)
I tried to solve it in FORTRAN with least square but i dint got a good answer for that
I got a program for solving the normal one as
a0+a1(2x-1)+a2(2x-1)^2+a3(2x-1)^3)
please help and if you have a code will much better
thankssssssss
Thanks for yr reply , I dont need to fit the only the data i have but i wana kindly to know how to solve that equation (kister eq.) by least square and find the concern cofficients
the data is as following
0.011 0.0218 0.037 0.0861 0.053 0.1654 0.061 0.2433 0.066 0.3101 0.069 0.374 0.072 0.4207 0.073 0.5003 0.07 0.5691 0.069 0.6326 0.067 0.7214 0.061 0.8072 0.049 0.86550.022 0.9573
that is fitting the data!
i recently implemented this myself (no you cannot have the code, sorry). wikipedia has the OLS equation:
Linear regression - Wikipedia, the free encyclopedia