A STATISTICAL ANALYSIS OF THE ENGINEERING APPROACH TO NAVY SHIPBUILDING COST ESTIMATION

Abstract

The paper discusses the feasibility of developing regression models to predict the total cost of a Navy ship using the physical weights of the ship components as independent variables was investigated. The various forms of regression analyses fall under the following three categories: Linear multiple regression analysis; Non-linear multiple regression analysis; and Adding-up process, which is an aggregation of two-variable regression analyses. It was found that the linear model is preferable over the non-linear model and the adding-up process. If the samples are properly selected, linear models which are statistically significant can be derived. Given its superiority over the other two models, the degree of accuracy of the linear model is still not high enough to produce a dependable point estimation for the total cost of the ship.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1970
Accession Number
AD0712500

Entities

People

  • K. C. Yu

Organizations

  • George Washington University

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Amphibious Ships
  • Ballistic Missiles
  • Business Administration
  • Classification
  • Computer Programs
  • Cost Estimates
  • Databases
  • Engineering
  • Guided Missiles
  • Information Science
  • Linear Regression Analysis
  • Navy
  • Regression Analysis
  • Standards
  • Statistical Analysis
  • Transport Ships

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Public Financial Management and Budgeting