Accession Number : AD0699523

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

Corporate Author : MISSOURI UNIV ROLLA

Personal Author(s) : Gillett,Billy E.

Report Date : JUN 1969

Pagination or Media Count : 60

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)

Descriptors :   (*OCEANOGRAPHIC DATA, *DATA PROCESSING), REGRESSION ANALYSIS, PREDICTIONS, TEMPERATURE, SALINITY, UNDERWATER SOUND, OCEAN BOTTOM TOPOGRAPHY, DEPTH FINDING, TIME SERIES ANALYSIS, ATLANTIC OCEAN

Subject Categories : Physical and Dynamic Oceanography

Distribution Statement : APPROVED FOR PUBLIC RELEASE