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Fit of groups of data

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Hisham on 22 Aug 2013
I have two groups of data. Both of them have the same x-axis but differ in y-axis. I want to to solve an equation that depend on these two groups of data.
The x-axis is representing time x=[1; 2; 3; 4; 5; 10; 15; 30; 45; 60; 90]
and y-axis for the first group is: y1=[56.88; 62.75; 87.07; 114.54; 139.14; 177.24; 216.39; 285.77; 399.99; 357.28; 359.53]
and y-axis for the second group is: y2=[353.64; 343.60; 303.67; 312.73; 328.91; 306.76; 299.97; 259.01; 222.10; 190.04; 228.87]
Here is my equation: y1/(y1+y2)=[k1/(k1+k2)]*{1-exp[-(k1+k2)*t]}
Note: all the equation parameters are known except k1 and k2.
How can I find them by fitting the data please?


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the cyclist
the cyclist on 22 Aug 2013
An equation with one variable is simpler than an equation with two variables. If you use z = y2./y1, then you can write 1./(1+z) instead of y1./(y1+y2).
Matt J
Matt J on 22 Aug 2013
You could even define
z = y1/(y1+y2)
and perform a fit to the equation
There aren't truly 2 data sets being fitted, here.
Walter Roberson
Walter Roberson on 24 Aug 2013
Hisham commented "yes, t should be x"

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Accepted Answer

the cyclist
the cyclist on 22 Aug 2013
If you have the Statistics Toolbox, I think the nlinfit() function will do what you need:


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