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ProductDistribution ​

The joint distribution of nn INDEPENDENT d1,…,dnd_1, \ldots, d_n — an nn-dimensional carrier.

ProductDistribution(d1, ..., dn)the joint distribution of n independent d1, ..., dn.
ProductDistribution({d, n})n independent copies of the same dd — rewritten to the n-ary form at construction.
Typed signatures
TypePackageApplies
((distribution*) -> distribution) & ((list<any>) -> distribution)statisticsalways

Domain: Statistics

Details
  • PDFPDF at a list {x1,…,xn}\{x_1,\ldots,x_n\} is the product ∏iPDF(di,xi)\prod_i PDF(d_i,x_i); CDFCDF the product of CDF(di,xi)CDF(d_i,x_i) — both valid only because the factors are assumed independent.
  • MeanMean and VarianceVariance are componentwise lists, {Mean(d1),…}\{Mean(d_1),\ldots\} and {Variance(d1),…}\{Variance(d_1),\ldots\}.
  • RandomVariate draws a list, one independent draw per factor.

Examples

Basic #
live ↗
InPDF⁡(ProductDistribution(NormalDistribution⁡(0,1),NormalDistribution⁡(5,2)),[0,5])\operatorname{PDF}(\mathrm{ProductDistribution}(\operatorname{NormalDistribution}(0, 1), \operatorname{NormalDistribution}(5, 2)), \bigl\lbrack0, 5\bigr\rbrack)Out14π\frac{1}{4π}
live ↗
Inmean(ProductDistribution(NormalDistribution⁡(0,1),NormalDistribution⁡(5,2)))\mathrm{mean}(\mathrm{ProductDistribution}(\operatorname{NormalDistribution}(0, 1), \operatorname{NormalDistribution}(5, 2)))Out[0,5]\bigl\lbrack0, 5\bigr\rbrack
live ↗
InVariance(ProductDistribution(NormalDistribution⁡(0,1),NormalDistribution⁡(5,2)))\mathrm{Variance}(\mathrm{ProductDistribution}(\operatorname{NormalDistribution}(0, 1), \operatorname{NormalDistribution}(5, 2)))Out[1,4]\bigl\lbrack1, 4\bigr\rbrack
live ↗
Inmean(ProductDistribution([NormalDistribution⁡(0,1),3]))\mathrm{mean}(\mathrm{ProductDistribution}(\bigl\lbrack\operatorname{NormalDistribution}(0, 1), 3\bigr\rbrack))Out[0,0,0]\bigl\lbrack0, 0, 0\bigr\rbrack
About
Examples4

See also: MarginalDistribution, MixtureDistribution, Mean, Variance