Analysis of Forecasting Methodologies for the U.S. Army Accident Data.

Abstract

One of the tasks of the U.S. Army Safety Center (USASC) is to prepare monthly forecasts for Army accident data and to disseminate the analyses of the forecasts to the various commands in the form of an informative and easily read report. In order to understand the magnitude of this task, one needs to look at not only the various time series involved in the preparation of the monthly forecasts but also at the nature of the data available to USASC personnel. The time series which must be forecasted are divided according to (1) the 18 major Army commands (MACOMs) (2) the individual installations which are under the supervision of each MACOM, and (3) the type of accident. The accidents are classified into ten types: (1) Army motor vehicle, (2) Army combat vehicle, (3) personally owned vehicle, (4) marine, (5) other army vehicle, (6) fire, (7) explosive, (8) personal injury, (9) property damage, and (10) aviation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 11, 1988
Accession Number
ADA373093

Entities

People

  • Meckinley Scott
  • William J. Gray Jr.

Organizations

  • United States Army Combat Readiness/Safety Center

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accidents
  • Analysis Of Variance
  • Data Science
  • Databases
  • Distribution Functions
  • Information Processing
  • Information Science
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Software Development
  • Standards
  • Statistical Algorithms
  • Statistics
  • Vehicles
  • White Noise

Readers

  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation
  • Joint Military Operations and Doctrine.