Estimation Of Parameters In The Weibdl Distribution

Author

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

Abstract

A new method of estimation is used to obtain two simple estimators of the parameters in a Weibull distribution. These estimators are similar to the estimators given by Gumbel, Miller and Freund, and Menon. Some useful properties of these estimators are developed which make it practical to use Monte Carlo methods to determine the variances and biases of the estimators for various sample sizes. Comparisons of the estimators can be made and unbiasing factors calculated in some cases. The variances of the estimators are also compared to the Cramer-Rao lower bounds for regular unbiased estimators. © 1967 Taylor & Francis Group, LLC.

Recommended Citation

L. J. Bain and C. E. Antle, "Estimation Of Parameters In The Weibdl Distribution," Technometrics, vol. 9, no. 4, pp. 621 - 627, Taylor and Francis Group; Taylor and Francis; American Statistical Association, Jan 1967.

The definitive version is available at https://doi.org/10.1080/00401706.1967.10490510

Department(s)

Mathematics and Statistics

International Standard Serial Number (ISSN)

1537-2723; 0040-1706

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Taylor and Francis Group; Taylor and Francis; American Statistical Association, All rights reserved.

Publication Date

01 Jan 1967