how can propagate error for division of two matrices?

1 Ansicht (letzte 30 Tage)
Joseph
Joseph am 13 Jun. 2018
Kommentiert: Joseph am 19 Jul. 2018
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

Akzeptierte Antwort

Arvind Narayanan
Arvind Narayanan am 6 Jul. 2018
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 Kommentar
Joseph
Joseph am 19 Jul. 2018
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.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Creating and Concatenating Matrices finden Sie in Help Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by