Doctoral Dissertations

Abstract

"For the most part, solutions to the problems of making inferences about the parameters in the Weibull distribution have been limited to providing simple estimators of the parameters. Little has been known about the properties of the estimators. In this paper the small and moderate sample size properties of the maximum likelihood estimators are studied and their superiority is established. The problem of making further inferences which are based on the maximum likelihood estimates of the parameters is then considered. The inferences that are presented can be divided into those based on a single sample and those based on two independent samples from Weibull distributions and include solutions to the standard problems of interval estimation and hypothesis testing. In addition tolerance limits and confidence limits on the reliability are given. these procedures are accomplished by the discovery of certain pivotal functions whose distributions can be obtained by Monte Carlo methods. Although the distributions are only tabulated for complete samples the procedures which are presented can be extended to the case of censored sampling since for this type of sampling the basic functions remain pivotal"--Abstract, page ii.

Advisor(s)

Antle, Charles E.
Bain, Lee J., 1939-

Committee Member(s)

Haddock, Glen
Gillett, Billy E.
Jones, R. E. Douglas
Zenor, Hughes M., 1908-2001

Department(s)

Mathematics and Statistics

Degree Name

Ph. D. in Mathematics

Publisher

University of Missouri at Rolla

Publication Date

1968

Pagination

viii, 89 pages

Note about bibliography

Includes bibliographical references (pages 55-56).

Rights

© 1968 Darrel Ray Thoman, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Weibull distribution -- Mathematical models
Interval analysis (Mathematics)

Thesis Number

T 2123

Print OCLC #

5995642

Electronic OCLC #

840822154

Included in

Mathematics Commons

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