Research Paper:
Modified Maximum Likelihood Estimators for Logistic Distribution Using Ranked Set Samples
Zili Zhang
and Xinzi Wang
Research Center for Quantitative Economics, Huaqiao University
No.668 Jimei Avenue, Xiamen, Fujian 361021, China
Corresponding author
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.
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