Two Characterizations for Pascal Signals in Additive Noise.

Abstract

Let X be a nonnegative interger-valued random variable whose distribution is the convolution of a Pascal distribution and another distribution on the nonnegative integers which does not depend on the Pascal parameters. The class of all such convolutions satisfying certain moment conditions is characterized by a system of differential equations satisfied by their probability mass functions. The result contains a characterization of Pascal distributions obtained by Boswell and Patil (1973) as a special case. A characterization of convoluted geometric distributions not requiring moment conditions is also given. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA059424

Entities

People

  • Francisco J. Samaniego
  • Gail G. Hannon

Organizations

  • University of California, Davis

Tags

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Convolution
  • Differential Equations
  • Equations
  • Mathematics
  • Probability
  • Probability Distributions
  • Random Variables

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Mathematical Modeling and Probability Theory.