Document Type

Thesis

Date of Degree Completion

Summer 1972

Degree Name

Master of Science (MS)

Department

Mathematics

Committee Chair

William B. Owen

Second Committee Member

David R. Anderson

Third Committee Member

Ken 0. Gamon

Abstract

In the theory of linear statistical models, one frequently encounters consistent systems of linear equations Ax= y. If A is nonsingular then a unique solution is given by x - 1 A y. If A is singular or rectangular however, then there are an infinite number of solutions; and the theory of generalized matrix inverses can be used to generate and characterize the solution set.

This thesis examines properties of generalized matrix inverses, and their use in solving linear equations, and in particular the role they play in treating the concept of estimability.

Included in

Mathematics Commons

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