Document Type

Thesis

Date of Degree Completion

Summer 1971

Degree Name

Master of Science (MS)

Department

Mathematics

Committee Chair

William B. Owen

Second Committee Member

David R. Anderson

Third Committee Member

Frederick M. Lister

Abstract

A typical problem in statistical inference is the following: An experimenter is confronted with a density function f(x; ϴ) which describes the underlying population of measurements. The form of f may or may not be known, and ϴ is a parameter (possibly vector-valued) which describes the population. The statistician's job is to estimate or to test hypotheses about the unknown parameter ϴ. In this paper, we shall consider interval estimation of the mean of the normal density function.

Language

English

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