Statistical Analysis of Port Systems Requirements

Abstract

This is a report of a study conducted under the Port Systems Project for the Naval Facilities Engineering Command. An objective of the Port Systems Project is to investigate methods of predicting the utility requirements of the port facilities that must be met to support future fleets. This report starts with a brief overview of the first phase of the methodology development and continues with the technical approach and the principles of statistical theory applied. Examples are used to relate these principles to the analysis to electric power requirements as an aid in understanding the analytical process inherent in the Methodology. An overview of the analytical procedures that constitute the basis of the Port Systems Requirements Prediction Methodology is presented. Computer programs used to calculate statistics are appended. Finally the results achieved are presented. The unique feature of this approach to port utility prediction is that it identifies and accommodates the contribution made by correlating the time usage of electric power consumption data among different ship classes. This results in non-zero correlation coefficients, which have an affect on the quality of the prediction. It is shown that as the number of ships using electrical power increases, the accuracy of the prediction is reduced.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1984
Accession Number
ADA139094

Entities

People

  • Joseph R. Green
  • Kenneth C. Youngmann
  • Robert W. Thomas

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computational Processes
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Databases
  • Electric Power
  • Electrical Measurement
  • Energy Consumption
  • Engineering
  • Experimental Design
  • Information Science
  • Normal Distribution
  • Probability
  • Standards
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Naval Architecture and Marine Engineering.
  • Software Engineering
  • Systems Analysis and Design