Masters Theses

Abstract

“A comparison of two methods for estimating parameters restricted by linear inequalities in linear statistical models was made.

The first method consisted of finding the least squares estimates of the parameters disregarding the restrictions, and then forcing those parameters that were outside of their allowable ranges to the nearest endpoints of those ranges.

The second method made use of quadratic programming to minimize the same sum of squares that the first method minimized while keeping the parameters inside or at the endpoints of their allowable ranges.

The quadratic programming gave better estimates of the parameters in the sense that the mean square error between the estimates and the true values of the parameters was smaller, but that method took much more computer time and more computer storage space"--Abstract, page ii.

Advisor(s)

Antle, Charles E.

Committee Member(s)

Johnson, Charles A.
Anderson, Richard A.
Fuller, Harold Q., 1907-1996

Department(s)

Mathematics and Statistics

Degree Name

M.S. in Applied Mathematics

Publisher

University of Missouri at Rolla

Publication Date

1964

Pagination

iv, 25 pages

Note about bibliography

Includes bibliographical references (page 24).

Rights

© 1964 William Lawrence May, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 1642

Print OCLC #

5959702

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Included in

Mathematics Commons

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