Polyfit and parameter uncertainty

2 次查看(过去 30 天)
Hi
I have some data (x, y), where y is proportional to x. I want to find the relationship, so I fit a function of the form f(x) = a*x+b to the data. This is how I do it:
p_RvsT = polyfit(r_vs_t(:, 1), r_vs_t(:, 2), 1);
Now this gives me a good estimate of a and b. What I want now is to find the uncertainty (= standard deviation) on the estimated values of a and b. I have found an older thread ( http://www.mathworks.com/matlabcentral/newsreader/view_thread/59468), which uses this technique:
x=1:100:10000;
y=x+.1*x.*(rand(size(x))-.5);
[p,s]=polyfit(x,y,1);
[yh,d]=polyval(p,x,s);
% show results
line(x,y);
line(x,[yh;yh-d;yh+d],'color',[1 0 0]);
My question is if this is the correct way to do so?
Best,
Niles.

采纳的回答

Walter Roberson
Walter Roberson 2012-6-22
Yes.
  2 个评论
Kamal Gurnani
Kamal Gurnani 2019-2-28
But the d-values are the prediction intervals for y, I still can not see the uncertainities in the coefficients.

请先登录,再进行评论。

更多回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Linear and Nonlinear Regression 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by