RegionBinarize[image, marker, d] gives a binary version of image that includes the foreground pixels of marker and also connected regions whose pixel values are within a ...
MarginalDistribution[dist, k] represents a univariate marginal distribution of the k\[Null]^th coordinate from the multivariate distribution dist.MarginalDistribution[dist, ...
StandardDeviation[list] gives the sample standard deviation of the elements in list. StandardDeviation[dist] gives the standard deviation of the symbolic distribution dist.
Variance[list] gives the sample variance of the elements in list. Variance[dist] gives the variance of the symbolic distribution dist.
MultivariateSkewness[matrix] gives a multivariate coefficient of skewness for matrix.
MultivariateKurtosis[matrix] gives a multivariate kurtosis coefficient for matrix.
MultivariatePoissonDistribution[\[Mu]_0, {\[Mu]_1, \[Mu]_2, \ ...}] represents a multivariate Poisson distribution with mean vector {\[Mu]_0 + \[Mu]_1, \[Mu]_0 + \[Mu]_2, ...
PairedZTest[data] tests whether the mean of the data is zero. PairedZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.PairedZTest[dspec, ...
Dot
(Built-in Mathematica Symbol) a.b.c or Dot[a, b, c] gives products of vectors, matrices, and tensors.
By far the largest release since Version 1.0 in 1988, Version 6.0 added a remarkable breadth of new functionality. As well as introducing several major new fundamental ...