Masters Theses

Abstract

"There are in existence today some reasonably good numerical procedures for predicting sound velocity, but these procedures require that certain initial data such as temperature and salinity be given before a sound velocity may be computed. Eliminating the need for on-location observations of temperature and salinity, which are used in computing sound velocity, was the primary objective of this study. Stepwise multiple regression was applied in the search for suitable models to predict temperature and salinity, and ultimately sound entirely in terms of controllable variables, such as latitude, longitude, depth, and day-of-year"--Abstract, page ii.

Advisor(s)

Gillett, Billy E.

Committee Member(s)

Waggoner, Raymond C.
Ho, C. Y. (Chung You), 1933-1988

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Publisher

University of Missouri--Rolla

Publication Date

1968

Pagination

vii, 52 pages

Note about bibliography

Includes bibliographical references.

Rights

© 1968 Darwin Wayne Brown, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Ocean temperature
Regression analysis -- Computer programs
Salinity -- Measurement
Seawater -- Acoustic properties

Thesis Number

T 2228

Print OCLC #

6006966

Electronic OCLC #

815625572

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