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Oct 17, 2013 at 8:09 comment added AsymLabs At the very least, as indicated in the equation above, this would not be a stationary effect. I would think that a first step would be to bin the readings according to time interval and then compare them. I don't know how many readings you have but this comparison could be run through something like Pearson's Distribution as a starting point - to try to classify the nature of the distribution.
Oct 17, 2013 at 7:50 comment added sebastian I think my problem is rather clear - I have the measured distribution of $\bf{v}$ and $\bf{a}$ and from this I'd like to sample a pseudo-random $\bf{v_{rand}}$, that ultimately reproduces the input. I'm well aware of your point on whether what comes out of it is realistic, but that's a different question...
Oct 16, 2013 at 20:42 history edited AsymLabs CC BY-SA 3.0
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Oct 16, 2013 at 20:23 history edited AsymLabs CC BY-SA 3.0
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Oct 16, 2013 at 20:14 history answered AsymLabs CC BY-SA 3.0