Statistical Analysis Methodology for the U.S. Navy Aircrew Automated Escape Systems.

Abstract

A statistical analysis methodology is proposed for the study of Aircrew Automated Escape Systems. A detailed explanation is given for the following: (1) data analysis; (2) applicable discrete probability density functions to include the binomial, Poisson, and multinominal; (3) Bayesian statistical theory and applications; (4) higher order contingency table data analysis; and (5) non-parametric (distribution free) statistical tests, to include the run test, and trend test, and Fisher's Exact Test. Continuous probability density functions discussed include the normal, gamma and beta density functions. A brief exposition of small sample statistical analysis, to include sampling probability density functions, is also given. The sampling probability density functions considered are the Chi-Square, t, and F. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 15, 1976
Accession Number
ADA035068

Entities

People

  • Henry L. Crowson

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Processing
  • Information Science
  • Normal Density Functions
  • Probability
  • Probability Density Functions
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Samples
  • Statistical Tests
  • Surveys
  • Wounds And Injuries

Fields of Study

  • Mathematics

Readers

  • Computer Science.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms