Statistical Inference Procedures for a Logistic Impact Acceleration Injury Prediction Model.

Abstract

This report describes statistical inference procedures relating to a logistic impact acceleration injury prediction model. The inference procedures discussed are interval estimation, hypothesis testing, and critical envelope estimation. Fundamentally, a critical envelope defines the independent variable combination such that the probability of injury is unlikely to exceed a prespecified value. Examples of the inference procedures discussed are given using data from a Monte Carlo simulation study. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA062728

Entities

People

  • Dennis E. Smith
  • John J. Peterson

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aircrafts
  • Asymptotic Normality
  • Data Science
  • Databases
  • Dynamic Response
  • Impact Acceleration
  • Information Science
  • Intervals
  • Mathematics
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Sampling
  • Security
  • Simulations
  • Statistical Inference
  • Statistics

Fields of Study

  • Mathematics

Readers

  • Aviation Science / Aeronautics.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference