Weibull Tolerance Intervals Associated with Small Survival Proportions; For Use in a New Formulation of Lanchester Combat Theory

Abstract

Given herein is an easily implemented method for obtaining from complete or censored data, approximate tolerance intervals associated with the upper tail of a Weibull distribution. These approximate intervals are based on point estimators that make essentially most efficient use of sample data. They agree extremely well with exact intervals (obtained by Monte Carlo simulation procedures) for sample sizes of about 10 or larger when specified survival proportions are sufficiently small. Ranges over which the error in the approximation is within 2 percent are determined. The motivation for investigation of the methodology for obtaining the approximate tolerance intervals was provided by the new formulation of Lanchester Combat Theory by Grubbs and Shuford, which suggests a Weibull assumption for time-to- incapacitation of key targets. With the procedures investigated herein, one can use (censored) data from battle simulations to obtain confidence intervals on battle times associated with given low survivor proportions of key targets belonging to either specified side in a future battle. It is also possible to calculate confidence intervals on a survival proportion of key targets corresponding to a given battle duration time.

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Document Details

Document Type
Technical Report
Publication Date
May 10, 1976
Accession Number
ADA028328

Entities

People

  • Nancy R. Mann

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Command And Control
  • Computer Simulations
  • Data Science
  • Estimators
  • Incapacitation
  • Information Science
  • Intervals
  • Military Research
  • Monte Carlo Method
  • Precision
  • Probability
  • Probability Distributions
  • Simulations
  • Statistical Algorithms
  • Survival

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Regression Analysis.
  • Trauma or Military Medicine