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8의 신기능: 매개 변수 확률 분포
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핵심 알고리즘
다른 모수 분포로부터의 모수 분포
선택된 모수 분포 작업에서 다른 모수 분포로의 작업 지원이 가능합니다.
In[1]:=
X
distTable[list_List] := TraditionalForm@ Grid[list, Dividers -> All, Spacings -> {{1, 1}, 5}, Alignment -> {Left, Center}, BaseStyle -> {FontFamily -> "Verdana"}, Background -> {None, {Hue[.6, .5, .9], {Hue[.6, .15, .9], GrayLevel[.9]}}}, FrameStyle -> Directive[Thick, White]];
In[2]:=
X
dists = {HoldForm[ OrderDistribution[{UniformDistribution[{0, 1}], n}, k]], HoldForm[ TransformedDistribution[ Min[u, v], {u \[Distributed] ExponentialDistribution[Subscript[\[Lambda], 1]], v \[Distributed] ExponentialDistribution[Subscript[\[Lambda], 2]]}]], HoldForm[ TransformedDistribution[ u + v, {u \[Distributed] CauchyDistribution[Subscript[a, 1], Subscript[b, 1]], v \[Distributed] CauchyDistribution[Subscript[a, 2], Subscript[b, 2]]}]], HoldForm[ ParameterMixtureDistribution[BorelTannerDistribution[\[Alpha], n], n \[Distributed] PoissonDistribution[\[Mu]]]], HoldForm[ ParameterMixtureDistribution[BinomialDistribution[n, p], p \[Distributed] BetaDistribution[\[Alpha], \[Beta]]]], HoldForm[ TruncatedDistribution[{0, \[Infinity]}, GumbelDistribution[\[Alpha], \[Beta]]]], HoldForm[ TruncatedDistribution[{0, \[Infinity]}, NormalDistribution[0, \[Sigma]]]], HoldForm[MarginalDistribution[BinormalDistribution[\[Rho]], 2]] };
In[3]:=
X
distTable[ Join[{{Style["Derived Distribution", Bold], Style["Parametric Equivalent", Bold]}}, Table[{Extract[dists, i, HoldForm], ReleaseHold[dists[[i]]]}, {i, Length[dists]}]]]
Out[3]=
