Modified Maximum Likelihood Estimators for Logistic Distribution Using Ranked Set Samples
In this article, the maximum likelihood estimators (MLE) and modified maximum likelihood estimators (MMLE) of the scale and location parameters for the logistic distribution applying simple random sampling (SRS) approach and different sampling schemes of ranked set sampling (RSS) are obtained. The corresponding MLE and MMLE using RSS when the ranking is imperfect are considered too.
Authors
- Xinzi Wang (ORCID: https://orcid.org/0000-0003-2070-1093)
- Zili Zhang (ORCID: https://orcid.org/0000-0002-1066-5124)
Institutions
- Huaqiao University (CN)
Publication Details
- Journal
- Journal of Advanced Computational Intelligence and Intelligent Informatics
- Published
- 2025-05-19
- DOI
- https://doi.org/10.20965/jaciii.2025.p0469
- Primary Topic
- Statistical Distribution Estimation and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00