Simple Linear Estimation Of The Parameters Of The Logistic Distribution From A Complete Or Censored Sample

Author

Max Engelhardt, Missouri University of Science and Technology

Abstract

Linear unbiased estimators which maintain high efficiency relative to the best linear unbiased estimators are proposed for the parameters of the logistic distribution. In the complete sample case, the estimators of location and scale are, respectively, a trimmed mean and the mean deviation about the sample median with an adjustment for bias. The same computational forms are applied to a Windsorized sample in the cases of symmetric and upper one-sided censoring. © 1975, Taylor & Francis Group, LLC.

Recommended Citation

M. Engelhardt, "Simple Linear Estimation Of The Parameters Of The Logistic Distribution From A Complete Or Censored Sample," Journal of the American Statistical Association, vol. 70, no. 352, pp. 899 - 902, Taylor and Francis Group; Taylor and Francis; American Statistical Association, Jan 1975.

The definitive version is available at https://doi.org/10.1080/01621459.1975.10480320

Department(s)

Geosciences and Geological and Petroleum Engineering

International Standard Serial Number (ISSN)

1537-274X; 0162-1459

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 1975