APPROXIMATIONS TO THE DISTRIBUTION FUNCTION OF SUMS OF INDEPENDENT CHI RANDOM VARIABLES.

Abstract

The problem is considered of approximating the distribution function, F sub n, where there are n independent standard normal random variables. Three well known approximations, the Edgeworth, the Cramer, and a Saddlepoint approximation are described. Another saddlepoint approximation is derived. The problem is discussed of calculating the moment generating function of F sub 1 for complex values of its argument. The four approximations to F sub n are compared for several cases and it is seen that the second saddlepoint approximation yields better results in each case. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 03, 1965
Accession Number
AD0620288

Entities

People

  • Herman Rubin
  • James Zidek

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Distribution Functions
  • Mathematics
  • Random Variables
  • Standards

Readers

  • Linear Algebra
  • Regression Analysis.