# Questions tagged [error-propagation]

Methods for calculating errors of a function whose arguments have individual errors.

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### Relative vs. absolute error bars in log-scaled plots

There's conflicting info from seemingly knowledgeable sources about the correct way to show error bars on a log-scaled plot. $log_{10}(x \pm \Delta x)$ shows the absolute error. On the one hand, it's ...
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### How do I calculate the error propagation for an estimated parameter?

Assume that I have a resistor with an unknown resistance R. I measure the current trough it, I, and the voltage across it, U. I can then estimate R: $$\hat{R} = \frac{U}{I}$$ Let us assume I get the ...
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### Can be the output distribution non-normal using the moment method?

I want to study the uncertainty propagation through a nonlinear function $Y = f(X)$. I am assuming that $X$ is normally distributed and I am using the moment method approximating $f(X)$ by its first (...
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### Propagation of uncertainty in a derivative of a function [duplicate]

I've performed an ordinary least squares on a data set with one variable. For simplicity, let's say I've fitted a polynomial function $$f(x)=a+bx+cx^2+dx^3.$$ I obtain the best fit and the standard ...
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### Relative error on a log-log plot

Since absolute error plotted on a log-log plot will result in asymmetric error bars, my understanding is that this would give a misleading view of the precision of a measurement. I can plot instead ...
1 vote
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### Estimating uncertainties in parameters from minimization of an expression

I was curious if they are anything in the literature about estimating or propagating uncertainties when the desired result is from the minimization of an expression. I have several books on ...
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### How to propagate errors from two sources

Suppose I performed 10 measurements, and have the dataset: ...
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### Error Propagation When "Finding" a Value in an Array (using np.where for example)

Consider you are given a dataset with x, y and y_err where ...
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