期刊
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
卷 46, 期 6, 页码 4600-4617出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610918.2015.1122053
关键词
Existence and uniqueness; Exponentiated Half Logistic distribution; Inverse moment estimators; Joint confidence regions; Maximum likelihood estimates; Monte Carlo simulation
资金
- program for the Fundamental Research Funds for the Central Universities [2014RC042, 2015JBM109]
In this article, we study the problem of estimating the unknown shape and scale parameters of the exponentiated half logistic distribution. For the maximum-likelihood estimation, we obtain a necessary and sufficient condition for the existence and uniqueness of maximum-likelihood estimates of the parameters. Inverse moment and modified inverse moment estimators are derived. Monte Carlo simulations are conducted to compare their performances. Two methods for constructing joint confidence regions for the two parameters are also proposed and their performances are discussed. A numerical example is presented to illustrate the methods.
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