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Same solution as Henrik's one, a little more simplified : f[t_] := If[-1
Yes! The formula for weighted mean in the documentation is wrong - but the result is correct. More clearly: In[70]:= nbpoints = 10; d = RandomReal[{-1, 1}, nbpoints]; w = Table[1, nbpoints]; Proba = w/Total@w; (* Probability*) ...
Consider travel times between three cities in Romania : TravelTime[Entity["City", {"AlbaIulia", "Alba", "Romania"}], Entity["City", {"Harman", "Brasov", "Romania"}]] TravelTime[Entity["City", {"AlbaIulia", "Alba", "Romania"}], ...
It could be natural to use Haar wavelets... But the fit is not very good.
Thanks for your answer, Hans. But, excepted both these cases, all the assets of the list are labelled in $, while Schneider Electric and Dassault Aviation are labelled in € and need a conversion. Regards, Claude
Hello! I'm trying to simulate counts of (pseudo-) species with different characteristics (rare, medium, abundant). From this point of view, it is quite natural to use Gamma-Poissson mixtures, with convenient parameters for the Gamma...
I use version 12.1.1.0, for Windows 11 professional...
Thanks a lot Rhoit! I think it's good.
Thanks Jim! I didn't though to use a mixture model. Pretty long, but it works: S = StableDistribution[\[Alpha], \[Beta], \[Mu], \[Sigma]] /. mle[[2]]; Print@Show[{Histogram[don, "FreedmanDiaconis", "PDF", PlotRange ->...
Hello! According to the documentation, "it is also known as autocorrelation or cross-correlation function (ACF or CCF)" . Consider two series: don2 = {1.4700335660303452`, 3.938502200833952`, -2.3409981833059916`,...