Likelihood and pivotal inference for Kumaraswamy parameters under progressive type-II censoring
學年 113
學期 2
出版（發表）日期 2025-06-14
作品名稱 Likelihood and pivotal inference for Kumaraswamy parameters under progressive type-II censoring
作品名稱（其他語言）
著者 Shuo-Jye Wu; Yao-Ting Tseng ; Coskun Kus
單位
出版者
著錄名稱、卷期、頁數 The Journal of Supercomputing 81，1029
摘要 In this paper, we investigate parameter inference for the Kumaraswamy distribution based on progressively type-II censored data. Our approach involves employing the method of maximum likelihood to derive point estimates for the model parameters. We establish the existence and uniqueness of these maximum likelihood estimators. Additionally, we present pivotal quantities that enable the construction of exact confidence intervals and joint confidence regions for the model parameters. To assess the performance of our proposed estimation techniques, we conduct comprehensive simulation studies. In conclusion, we apply the introduced estimation methods to analyze and discuss the results obtained from three real datasets, providing practical insights into their performance. These exact joint confidence regions can be directly utilized to construct confidence bounds for various reliability indices and quality control measures, enhancing their applicability in industrial settings.
關鍵字 Confidence interval ;Confidence region ;Kumaraswamy distribution; Maximum likelihood estimation ;Pivotal quantity ;Progressive type-II censoring
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI Scopus
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/127443 )