Doctoral Dissertations
Abstract
"Various estimators of the location and scale parameters in the Cauchy distribution are investigated, and the superiority of the maximum likelihood estimators is established. Tables based on maximum likelihood estimators are presented for use in making statistical inferences for the Cauchy distribution. Those areas considered include confidence intervals, tests of hypothesis, power of the tests, and tolerance intervals. Both one- and two-sample problems are considered. Tables for testing the hypothesis of whether a sample came from a normal distribution or a Cauchy distribution are presented. The problems encountered in finding maximum likelihood estimators for the Cauchy parameters are discussed, and a computer program for obtaining the estimates is included"--Abstract, page ii.
Advisor(s)
Antle, Charles E.
Committee Member(s)
Gillett, Billy E.
Jones, R. E. Douglas
Thompson, W. A.
Bain, Lee J., 1939-
Sauer, Harry J., Jr., 1935-2008
Department(s)
Mathematics and Statistics
Degree Name
Ph. D. in Mathematics
Publisher
University of Missouri--Rolla
Publication Date
1969
Pagination
viii, 102 pages
Note about bibliography
Includes bibliographical references (pages 78-79).
Rights
© 1969 Gerald Nicholas Haas, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Cauchy problem -- Numerical solutionsOperator theoryEstimation theory -- Mathematical modelsEstimation theory -- Computer programs
Thesis Number
T 2261
Print OCLC #
5151458
Electronic OCLC #
840616605
Recommended Citation
Haas, Gerald Nicholas, "Statistical inferences for the Cauchy distribution based on maximum likelihood estimators" (1969). Doctoral Dissertations. 2274.
https://scholarsmine.mst.edu/doctoral_dissertations/2274