A Model to Forecast Civilian Personnel Inventory for the National Security Agency.

Abstract

The purpose of this thesis is to develop a model to forecast civilian personnel inventory for the National Security Agency (NSA). Accurate prediction of personnel inventories will help the NSA with issues ranging from hiring, promotion, and ethnic/gender diversity to the development of cost-effective force reduction programs. The model must be capable of producing multiple-year forecasts of the NSA's civilian force structure with a minimum fidelity level that allows for break-out by years-of-service, career field, and grade. Historical data will be utilized to estimate logistic regression parameters that will compose the internal workings of the model. The JMP statistical software package will be used for data analysis, while the model will be developed as a Microsoft Excel application.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1998
Accession Number
ADA342135

Entities

People

  • Stephen G. Hoffman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Basic Programming Language
  • Civilian Personnel
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Delphi Method
  • Employment
  • Factor Analysis
  • Force Structure
  • Information Science
  • National Security
  • Reliability
  • Spreadsheet Software
  • Statistical Analysis
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Government and Public Administration Law.
  • Naval Personnel Management