Statistical Procedures for Extracting Optimal Predictor Variables for Use in an Impact Acceleration Injury Prediction Model.

Abstract

An empirical impact acceleration injury prediction model can be based on an underlying logistic function using information extracted from dynamic response data to define independent (predictor) variables. This report describes statistical procedures for the extraction of optimal predictor variables. The application of the statistical techniques of principal components analysis and canonical correlation analysis is described. An outline of how the data analysis may be conducted with the BMDP statistical computer package is discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1979
Accession Number
ADA072682

Entities

People

  • Dennis E. Smith
  • John J. Peterson

Tags

DTIC Thesaurus Topics

  • Angular Acceleration
  • Coefficients
  • Computer Programs
  • Computers
  • Correlation Analysis
  • Data Analysis
  • Data Science
  • Data Sets
  • Databases
  • Dynamic Response
  • Impact Acceleration
  • Information Science
  • Military Research
  • Operations Research
  • Regression Analysis
  • Statistical Inference
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference