ProbitModelFit (Built-in Mathematica Symbol)

ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...

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, ...

VarianceTest (Built-in Mathematica Symbol)

VarianceTest[data] tests whether the variance of the data is one. VarianceTest[{data_1, data_2}] tests whether the variances of data_1 and data_2 are ...

DistributionFitTest (Built-in Mathematica Symbol)

DistributionFitTest[data] tests whether data is normally distributed. DistributionFitTest[data, dist] tests whether data is distributed according to dist. ...

GeneralizedLinearModelFit (Built-in Mathematica Symbol)

GeneralizedLinearModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a generalized linear model of the form g -1 (\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + ...) that ...

LocationEquivalenceTest (Built-in Mathematica Symbol)

LocationEquivalenceTest[{data_1, data_2, ...}] tests whether the means or medians of the data_i are equal. LocationEquivalenceTest[{data_1, ...}, " property"] returns the ...

NonlinearModelFit (Built-in Mathematica Symbol)

NonlinearModelFit[{y_1, y_2, ...}, form, {\[Beta]_1, ...}, x] constructs a nonlinear model with structure form that fits the y_i for successive x values 1, 2, ... using the ...

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 ...

Power (Built-in Mathematica Symbol)

x^y gives x to the power y.

PolyhedronData (Built-in Mathematica Symbol)

PolyhedronData[poly, " property"] gives the value of the specified property for the polyhedron named poly.PolyhedronData[poly] gives an image of the polyhedron named ...