PREDICTION OF TIME SERIES USING MULTIPLE REGRESSION TECHNIQUES AND SEAKEEPING APPLICATIONS

Abstract

This report discusses methods for predicting future values of discrete time series from past observed values of the time series. The points at which the autocorrelation function is computed are the past points used in the analysis. Classical ideas are reviewed, and then extended to handle more advanced time series problems. Applications of these results are explained for seakeeping applications of: (1) long range ocean prediction, (2) short term roll prediction, and (3) vibration response prediction. Further material appears on statistical tests for coefficient determination, and on digital computer requirements.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1963
Accession Number
AD0432475

Entities

People

  • Loren D. Enochson

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Computational Science
  • Computers
  • Correlation Analysis
  • Data Science
  • Digital Computers
  • Equations
  • Fluid Dynamics
  • Fluid Mechanics
  • Information Science
  • Mathematics
  • Naval Architecture
  • New York
  • Pressure Transducers
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Tests
  • Waves

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Naval Architecture and Marine Engineering.