CRITICAL STUDY OF APPROXIMATING FUNCTIONS(AND METHODS) AS APPLIED TO OCEAN STATION DATA. PROJECT 1. REGRESSION ANALYSIS,

Abstract

The purpose of this study is to develop experimental multiple regression models to predict ocean temperature, salinity, and sound velocity as functions of geographical location, time, depth, and possibly other independent variables such as ocean bottom depth, type of ocean bottom, cloud cover, and humidity. The stepwise multiple regression technique is used in the model building process. Thus, these models are good for predicting temperature, salinity and sound velocity at any depth. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0699523

Entities

People

  • Billy E. Gillett

Organizations

  • Missouri University of Science and Technology

Tags

DTIC Thesaurus Topics

  • Biological Phenomena
  • Cloud Cover
  • Clouds
  • Critical Temperature
  • Data Science
  • Ecological And Environmental Phenomena
  • Ecological And Environmental Processes
  • Glass Transition Temperature
  • Humidity
  • Information Science
  • Meteorological Phenomena
  • Regression Analysis
  • Salinity
  • Seabed
  • Transition Temperature

Readers

  • Climatology
  • Computational Modeling and Simulation
  • Oceanography.