What is an easy way to calculate numerical integration uncertainty/error

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To estimate the uncertainty or error in numerical integration of a waveform using methods like Trapezoidal, Simpson's, or Boole's, one can refer to the error bounds associated with these techniques. For Simpson's Rule, the error can be calculated using the formula involving the fourth derivative of the function over the interval. While there are no significantly simpler methods for determining this error, understanding that these integration techniques are based on Taylor approximations is crucial. The discussion emphasizes that calculating derivatives is an inherent part of estimating integration error. Accurate error estimation is essential for validating the results of numerical integration.
jephthah
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i'm measuring a waveform (pulse) that i want to integrate the area under.

i take a bunch of samples and use one of the basic numeric integration methods (Trapezoidal, Simpson's, Boole's)

what is a fairly easy method to estimate the uncertainty/error of the numeric integration compared to the "true" value?

thanks
 
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For Simpson's Rule, the error bound is:

\frac{1}{90}(\frac{b-a}{2})^5 |f''''(z)| where z is the number between a and b that maximizes |f''''(x)| between a and b.

I got this from:

http://en.wikipedia.org/wiki/Simpson's_rule

You can find the other's on wiki as well. As far as an easier method of determining the error, I'm not aware of any. Since these methods are in some way, shape or form derived from Taylor approximations, I'm pretty sure you can't rid of taking a number of derivatives.
 

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