Doctoral Dissertations
Abstract
"Procedures for handling statistical problems with nuisance parameters are considered with special reference to problems in the three parameter generalized gamma distribution. Maximum likelihood estimation of the parameters of this density has been investigated. Properties of these estimates are established which make it possible to make inferences about the parameters. Discrimination between various models for life testing problems is discussed and the robustness of the Weibull model is advanced. The question of the existence of the maximum likelihood estimates of the parameters for all samples is raised. Empiric evidence is presented indicating that they may not exist for all small samples"--Abstract, page ii.
Advisor(s)
Bain, Lee J., 1939-
Committee Member(s)
Harkness, William L.
Antle, Charles E.
Haddock, Glen
Johnson, James W., 1930-2002
Jawa, M. S.
Department(s)
Mathematics and Statistics
Degree Name
Ph. D. in Mathematics
Publisher
University of Missouri--Rolla
Publication Date
1969
Pagination
vii, 68 pages
Note about bibliography
Includes bibliographical references (pages 65-67).
Rights
© 1969 Harold Walter Hager, All rights reserved.
Document Type
Dissertation - Open Access
File Type
text
Language
English
Subject Headings
Mathematical statistics
Mathematical statistics -- Methodology
Gamma functions
Thesis Number
T 2298
Print OCLC #
5152387
Electronic OCLC #
833159817
Link to Catalog Record
Recommended Citation
Hager, Harold Walter, "Statistical inferences for the generalized gamma distribution" (1969). Doctoral Dissertations. 2275.
https://scholarsmine.mst.edu/doctoral_dissertations/2275
