Use the return value of of the function lscov for weighted least squares?
2 次查看(过去 30 天)
显示 更早的评论
After looking at the matlab example using the function lscov for the weighted least squares type, I was trying to use the return values b,se_b and mse? Is it possible to plot this on current figure? My assumption is that the weighted least square should be a best fit line through the data x1,y and x2,y. My ultimate goal is to find the error terms when modeling heteroscedastic data.
x1 = [.2 .5 .6 .8 1.0 1.1]';
x2 = [.1 .3 .4 .9 1.1 1.4]';
X = [ones(size(x1)) x1 x2]
y = [.17 .26 .28 .23 .27 .34]';
w = [1 1 1 1 1 .1]';
[b,se_b,mse] = lscov(X,y,w);
plot(x1,y,'b', x2,y,'r');
0 个评论
回答(1 个)
Marek Svoboda
2020-2-10
编辑:Marek Svoboda
2020-2-10
I found this StackExchange thread useful: using size of scatter points to weight line of best fit in matlab
0 个评论
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Fixed-Point Designer 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!