文章基本信息

标题：Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
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作者：Devendra Kumar ; Maneesh Kumar ; Sanku Dey 等
期刊名称：Journal of Statistical Theory and Applications (JSTA)
电子版ISSN：1538-7887
出版年度：2020
卷号：19
期号：3
页码：352-367
DOI：10.2991/jsta.d.200825.002
语种：English
出版社：Atlantis Press
摘要：In this paper, we first derive the exact explicit expressions for the single and product moments of order statistics from the type-II exponentiated log-logistic distribution, and then use these results to compute the means, variances, skewness and kurtosis of rth order statistics. Besides, best linear unbiased estimators (BLUEs) for the location and scale parameters for the type-II exponentiated log-logistic distribution with known shape parameters are studied. Finally, the results are illustrated with a real data set.
关键词：Type-II exponentiated log-logistic distribution; Moments; Order statistics; Best linear unbiased estimators