Inferences For The Cauchy Distribution Based On Maximum Likelihood Estimators

Author

Gerald Haas
Lee J. Bain, Missouri University of Science and TechnologyFollow
Charles E. Antle, Missouri University of Science and Technology

Abstract

SUMMARY: Tables, based on maximum likelihood estimators, are presented which enable one to obtain confidence intervals and test hypotheses about parameters of the Cauchy distribution. The difficulty in obtaining the maximum likelihood estimates of the parameters is discussed. Comparisons between the maximum likelihood estimators and the best linear unbiased estimators are presented. © 1970 Oxford University Press.

Recommended Citation

G. Haas et al., "Inferences For The Cauchy Distribution Based On Maximum Likelihood Estimators," Biometrika, vol. 57, no. 2, pp. 403 - 408, Oxford University Press, Aug 1970.

The definitive version is available at https://doi.org/10.1093/biomet/57.2.403

Department(s)

Mathematics and Statistics

International Standard Serial Number (ISSN)

0006-3444

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Oxford University Press, All rights reserved.

Publication Date

01 Aug 1970