TABLES OF OFFSET CIRCLE PROBABILITIES FOR A NORMAL BIVARIATE ELLIPTICAL DISTRIBUTION

Abstract

This report consists of two major parts. The first deals with the development of formulas for computing the probability that a point taken from a normal bivariate elliptical distribution with specified mean and standard deviations shall fall within a circle of given radius whose center is displaced a given distance from the center of the distribution. The second part consists entirely of probability tables. These tables will prove especially useful in dealing with problems involving accuracy studies of weapons systems and with other problems notably in meteorological studies. The events in many practical probability problems are best described by a normal bivariate elliptical distribution with unequal standard deviations. For example, one may be confronted with the problem of evaluating the probability that a missile will hit a circle of a specified radius whose center (aim point) is displaced a given distance from the mean (of impact points) of a normal bivariate elliptical distribution. In this example the impact points are governed by a normal (Gaussian) bivariate elliptical density function; the mean of this distribution is not zero (i.e., the center of the distribution is not about the aim point).

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1965
Accession Number
AD0623882

Entities

People

  • Erwin Biser
  • George Millman

Organizations

  • United States Army Communications-Electronics Command

Tags

Communities of Interest

  • Advanced Electronics
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Classification
  • Data Science
  • Distribution Functions
  • Electro-Optic Modulators
  • Equations
  • Errors
  • Impact Point
  • Information Science
  • Normal Distribution
  • Plastic Explosives
  • Probability
  • Probability Density Functions
  • Random Variables
  • Standards
  • Two Dimensional

Fields of Study

  • Mathematics

Readers

  • Fluid Dynamics.
  • Regression Analysis.