Fitting data with custom equation

Hi,

I have a data set of X-axis and Y-axis. I have attched the Excel file of my data.

So i want to fit this data in a equation P(t) = At^(−(1+α))e(−t/tc).

I want to do this by curve fitting? I'd like to obtain the parameter α,tc as an answer.

please let me know how to do this.

[Rik]

What was the top google result when you searched for a solution? How did you try to implement it?

Answer 1

[Ameer Hamza]

You can use lsqcurvefit()

data = readtable('data set.xlsx');
x = data.LOGX;
y = data.LOGY;

P = @(param, t) param(1)*t.^(-(1+param(2))).*exp(-t/param(3));

sol = lsqcurvefit(P, rand(3,1), x, y);

plot(x, y, '+', 'DisplayName', 'Actual Data')
hold on
plot(x, P(sol, x), 'DisplayName', 'Estimated')
legend()

[anubha agarwal]

I am obtaining the complex value of parameters even after changing the upper and lower bounds of the parameters.

[Ameer Hamza]

Can you show the data which gives complex parameters?