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As far as I know there isn't one, so let's make one together. This is a Community Wiki post. The idea is for one person to give an Octave/Matlab function of interest and describe what it does, then other users can recommend substitutes. The community can improve and curate those recommendations. An example entry: ones ones(n) builds an array of ...


2

Mathematica does not automatically calculate the quantile (or InverseCDF) for arbitrary distributions. You need to do it. xd = ExponentialDistribution[1]; (* use exact argument *) yd = ExponentialDistribution[5]; (* use exact argument *) td = TransformedDistribution[ x/(x + y), {x \[Distributed] xd, y \[Distributed] yd}]; quantile[q_] = z /. ...


1

You have two issues - firstly data includes x values and you don't want to convolve those. So use data[[All, 2]] in the convolution. Secondly you need to allow the kernel to overhang the data or you'll just get the single value of the convolution with the kernel aligned to the data. The overhang is determined by the third argument of ListConvolve. See the ...



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