Distributions in Communication Systems (Mathematica Guide)

There are many types of distributions that are relevant for communication systems. In telecom, for instance, exponential and Erlang distributions modeling talk lengths are ...

DistributionParameterQ (Built-in Mathematica Symbol)

DistributionParameterQ[dist] yields True if dist is a valid distribution, and yields False otherwise.

PairedTTest (Built-in Mathematica Symbol)

PairedTTest[data] tests whether the mean of data is zero. PairedTTest[{data_1, data_2}] tests whether the mean of data_1\[Dash] data_2 is zero.PairedTTest[dspec, \[Mu]_0] ...

TTest (Built-in Mathematica Symbol)

TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal.TTest[dspec, \[Mu]_0] tests the mean ...

ProductDistribution (Built-in Mathematica Symbol)

ProductDistribution[dist_1, dist_2, ...] represents the joint distribution with independent component distributions dist_1, dist_2, ....

LocationTest (Built-in Mathematica Symbol)

LocationTest[data] tests whether the mean or median of the data is zero. LocationTest[{data_1, data_2}] tests whether the means or medians of data_1 and data_2 are ...

SignTest (Built-in Mathematica Symbol)

SignTest[data] tests whether the median of data is zero. SignTest[{data_1, data_2}] tests whether the median of data_1\[Dash] data_2 is zero.SignTest[dspec, \[Mu] 0] tests a ...

VarianceEquivalenceTest (Built-in Mathematica Symbol)

VarianceEquivalenceTest[{data_1, data_2, ...}] tests whether the variances of the data_i are equal. VarianceEquivalenceTest[{data_1, ...}, " property"] returns the value of " ...

HalfNormalDistribution (Built-in Mathematica Symbol)

HalfNormalDistribution[\[Theta]] represents a half-normal distribution with scale inversely proportional to parameter \[Theta].

InverseSurvivalFunction (Built-in Mathematica Symbol)

InverseSurvivalFunction[dist, q] gives the inverse of the survival function for the symbolic distribution dist as a function of the variable q.