MapIndexed (Built-in Mathematica Symbol)

MapIndexed[f, expr] applies f to the elements of expr, giving the part specification of each element as a second argument to f. MapIndexed[f, expr, levelspec] applies f to ...

Map (Built-in Mathematica Symbol)

Map[f, expr] or f /@ expr applies f to each element on the first level in expr. Map[f, expr, levelspec] applies f to parts of expr specified by levelspec.

MapThread (Built-in Mathematica Symbol)

MapThread[f, {{a_1, a_2, ...}, {b_1, b_2, ...}, ...}] gives {f[a_1, b_1, ...], f[a_2, b_2, ...], ...}. MapThread[f, {expr_1, expr_2, ...}, n] applies f to the parts of the ...

MarcumQ (Built-in Mathematica Symbol)

MarcumQ[m, a, b] gives Marcum's Q function Q_m (a, b).MarcumQ[m, a, b_0, b_1] gives Marcum's Q function Q_m (a, b_0) - Q_m (a, b_1).

MardiaCombinedTest (Built-in Mathematica Symbol)

MardiaCombinedTest[data] tests whether data follows a MultinormalDistribution using the Mardia combined test.MardiaCombinedTest[data, " property"] returns the value of " ...

MardiaKurtosisTest (Built-in Mathematica Symbol)

MardiaKurtosisTest[data] tests whether data follows a MultinormalDistribution using the Mardia kurtosis test.MardiaKurtosisTest[data, " property"] returns the value of " ...

MardiaSkewnessTest (Built-in Mathematica Symbol)

MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...

MarginalDistribution (Built-in Mathematica Symbol)

MarginalDistribution[dist, k] represents a univariate marginal distribution of the k\[Null]^th coordinate from the multivariate distribution dist.MarginalDistribution[dist, ...

Masking (Built-in Mathematica Symbol)

Masking is an option for various image analysis and processing functions that specifies on which regions they should operate.

MatchingDissimilarity (Built-in Mathematica Symbol)

MatchingDissimilarity[u, v] gives the matching dissimilarity between Boolean vectors u and v.