When fitting models to data, it is often useful to analyze how well the model fits the data and how well the fitting meets the assumptions of the model. For a number of ...
Mathematica has a wide coverage of named functions defined by sums and recurrence relations. Often using original algorithms developed at Wolfram Research, Mathematica ...
Mathematica contains hundreds of original algorithms for computing integer functions involving integers of any size.
Mathematica has been used to make many important discoveries in discrete mathematics over the past two decades. Its integration of highly efficient and often original ...
Mathematica has the most extensive collection of mathematical functions ever assembled. Often relying on original results and algorithms developed at Wolfram Research over ...
In almost every area where probability and statistics are used there have been found a few parametric distribution families that are known to be good models. The origins vary ...
The symbolic character of Mathematica makes possible a uniquely coherent approach to integer sequences, integrating functional forms, equations, generating functions, and ...
Introduced soon after ordinary hypergeometric functions, the q functions have long been studied as theoretical generalizations of hypergeometric and other functions. ...
ExponentialFamily is an option for GeneralizedLinearModelFit that specifies the exponential family for the model.
The functions described here are among the most commonly used discrete univariate statistical distributions. You can compute their densities, means, variances, and other ...