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StationaryWaveletPacketTransform   (Built-in Mathematica Symbol)
StationaryWaveletPacketTransform[data] gives the stationary wavelet packet transform (SWPT) of an array of data.StationaryWaveletPacketTransform[data, wave] gives the ...
StationaryWaveletTransform   (Built-in Mathematica Symbol)
StationaryWaveletTransform[data] gives the stationary wavelet transform (SWT) of an array of data.StationaryWaveletTransform[data, wave] gives the stationary wavelet ...
BinomialDistribution   (Built-in Mathematica Symbol)
BinomialDistribution[n, p] represents a binomial distribution with n trials and success probability p.
PoissonDistribution   (Built-in Mathematica Symbol)
PoissonDistribution[\[Mu]] represents a Poisson distribution with mean \[Mu].
RecurrenceTable   (Built-in Mathematica Symbol)
RecurrenceTable[eqns, expr, {n, n_max}] generates a list of values of expr for successive n based on solving the recurrence equations eqns.RecurrenceTable[eqns, expr, nspec] ...
SignedRankTest   (Built-in Mathematica Symbol)
SignedRankTest[data] tests whether the median of data is zero. SignedRankTest[{data_1, data_2}] tests whether the median of data_1 - data_2 is zero.SignedRankTest[dspec, ...
StudentTDistribution   (Built-in Mathematica Symbol)
StudentTDistribution[\[Nu]] represents a Student t distribution with \[Nu] degrees of freedom.StudentTDistribution[\[Mu], \[Sigma], \[Nu]] represents a Student t distribution ...
Introduction to Graph Drawing   (Mathematica Tutorial)
Mathematica provides functions for the aesthetic drawing of graphs. Algorithms implemented include spring embedding, spring-electrical embedding, high-dimensional embedding, ...
ContourPlot   (Built-in Mathematica Symbol)
ContourPlot[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a contour plot of f as a function of x and y. ContourPlot[f == g, {x, x_min, x_max}, {y, y_min, y_max}] plots ...
Probability   (Built-in Mathematica Symbol)
Probability[pred, x \[Distributed] dist] gives the probability for an event that satisfies the predicate pred under the assumption that x follows the probability distribution ...
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