A Maple algorithm for k-statistics, polykays and their multivariate generalization - Maple Application Center
Application Center Applications A Maple algorithm for k-statistics, polykays and their multivariate generalization

A Maple algorithm for k-statistics, polykays and their multivariate generalization

Authors
: Dr. Giuseppe Guarino
Engineering software solutions from Maplesoft
This Application runs in Maple. Don't have Maple? No problem!
 Try Maple free for 15 days!

Through the classical umbral calculus, we provide a unifying syntax for single and multivariate k-statistics, polykays and multivariate polykays. Classical umbral calculus is a symbolic method for handling ordinary and exponential formal power series. A feature of the classical umbral calculus is that an umbra has the structure of a random variable but with non reference to a probability space. This brings the umbral syntax closer to statistical methods.

Application Details

Publish Date: May 25, 2009
Created In: Maple 12
Language: English

More Like This

Joint Cumulants of Polykays
A Recursive Algorithm to Generate a Superpermutation of length n! + (n-1)! + (n-2)! + (n-3)! + n-3
Multivariate Distributions In Maple
ランダムウォーク
The Advanced Encryption Standard and its modes of operation
Decision Analysis using Bayes Rule
Regression and Data Fitting in Maple