User Portlet
| Discussions |
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| Hi, If I have a distribution, e.g.: p := DiscreteUniformDistribution[{1,6}] is there any way to find out range of values of related variate? (e.g. [1,6] in my example) Thank you |
| Can you help me understand why these two plots differ? It seems like in first case variate suddenly stopped being discrete d1 = TransformedDistribution[x + x, x\[Distributed]DiscreteUniformDistribution[{1,6}]]; DiscretePlot[PDF[d1, {a}],... |
| I am a beginner. I keep running into the same problem over and over. Please, consider this code: P[N_Integer, p_] = BinomialDistribution[N,p]; Y[D_] = Expectation[x, x\[Distributed]P[D,0.5]]; DiscretePlot[Y[x], {x, 0, 20}, ExtentSize... |
| Hi, I think, I found a bug in DiscreteConvolve[] implementation. See this code: F[x_] := UnitStep[x] * UnitStep[10 - x] * 1/10 G[x_] := DiscreteConvolve[F[n],F[n], n, x] M[x_] := DiscreteConvolve[G[n],F[n], n, x] ... |