how can propagate error for division of two matrices?

1 次查看(过去 30 天)
I have two arrays E(i,j,k) and E_2(i,j,k) in which some elements of these matrices are nan values. while, I can calculate standard deviations S(i,j) = nanstd(E(i,j,:)); and S_2(i,j) = nanstd(E_2(i,j,:)); for E and E_3, i don't know howe to calculate standard deviation for E_2(i,j,k)./E(i,j,k). i was wondering if it is possible using propegation of error (function sigma = PropError(f,varlist,vals,errs)) or any other way.
Thank you in advance

采纳的回答

Arvind Narayanan
Arvind Narayanan 2018-7-6
Hi Joseph,
If the second matrix(E(i,j,k) in this case) has all non zero elements(NaN allowed), then only we can calculate standard deviation of this p./q type matrix. Otherwise, the resulting matrix will have Inf in it which would result in standard deviation in NaN .
Since Inf makes the mean and other central tendencies of the matrix non-quantifiable, the result is NaN.
For matrix with non-zero elements, we can use p./q and then use nanstd to find standard deviation.
Hope this helps,
Arvind
  1 个评论
Joseph
Joseph 2018-7-19
These two matrices are measurements with the known error for each element. lets say for matrix E(i,j,k) there is an error(i,j,k) matrix. and same for E_2 matrix. I didn't mention this in my question.

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 Creating and Concatenating Matrices 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