CramerVonMisesTest[data] tests whether data is normally distributed using the Cramér\[Dash]von Mises test.CramerVonMisesTest[data, dist] tests whether data is distributed ...
DiracDelta[x] represents the Dirac delta function \[Delta](x). DiracDelta[x_1, x_2, ...] represents the multidimensional Dirac delta function \[Delta](x_1, x_2, ...).
Fibonacci[n] gives the Fibonacci number F_n. Fibonacci[n, x] gives the Fibonacci polynomial F_n (x).
HeavisideTheta[x] represents the Heaviside theta function \[Theta](x), equal to 0 for x < 0 and 1 for x > 0. HeavisideTheta[x_1, x_2, ...] represents the multidimensional ...
KuiperTest[data] tests whether data is normally distributed using the Kuiper test.KuiperTest[data, dist] tests whether data is distributed according to dist using the Kuiper ...
Log
(Built-in Mathematica Symbol) Log[z] gives the natural logarithm of z (logarithm to base e). Log[b, z] gives the logarithm to base b.
MardiaKurtosisTest[data] tests whether data follows a MultinormalDistribution using the Mardia kurtosis test.MardiaKurtosisTest[data, " property"] returns the value of " ...
MardiaSkewnessTest[data] tests whether data follows a MultinormalDistribution using the Mardia skewness test.MardiaSkewnessTest[data, " property"] returns the value of " ...
PearsonChiSquareTest[data] tests whether data is normally distributed using the Pearson \[Chi]^2 test.PearsonChiSquareTest[data, dist] tests whether data is distributed ...
Sec
(Built-in Mathematica Symbol) Sec[z] gives the secant of z.