"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.
Bain, Lee J., 1939-
Harkness, William L.
Antle, Charles E.
Johnson, James W., 1930-2002
Jawa, M. S.
Mathematics and Statistics
Ph. D. in Mathematics
University of Missouri--Rolla
vii, 68 pages
© 1969 Harold Walter Hager, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Mathematical statistics -- Methodology
Print OCLC #
Electronic OCLC #
Link to Catalog Recordhttp://laurel.lso.missouri.edu/record=b2614186~S5
Hager, Harold Walter, "Statistical inferences for the generalized gamma distribution" (1969). Doctoral Dissertations. 2275.