The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

The search session has expired. Please query the service again.

Currently displaying 1 – 4 of 4

Showing per page

Order by Relevance | Title | Year of publication

Discrete multivariate truncated distributions

T. Gerstenkorn — 1978

Mathematica Applicanda

Let X(1),⋯,X(k),X(k+1) be random variables that take nonnegative integer values and let (∗) ∑(i,1,k+1)X(i)=n. The joint distribution of the first k variables is given by the probability function p(x(1),⋯,x(k))=P(X(1)=x(1),⋯,X(k)=x(k)). A truncation of the component X(i) of the vector X=(X(1),⋯,X(k)) is defined by the constraint b(i)≤X(i)≤n, where b(i) is a positive integer. The author obtains an expression for the probability function p∗(x(1),⋯,x(t),x(t+1),⋯,x(k)) of the vector X∗, which is obtained...

Page 1

Download Results (CSV)