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- W3138975401 abstract "A goodness of fit test procedure is proposed for the log-logistic distribution when the available data are subject to Type I censoring. The proposed test is based on transforming type 1 censored data into complete data from a suitably truncated distribution. A Monte Carlo power study is conducted to evaluate and compare the performance of the proposed method with the existing classical methods. An application based on a real dataset is considered for illustrative purposes" @default.
- W3138975401 created "2021-03-29" @default.
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- W3138975401 date "2023-03-09" @default.
- W3138975401 modified "2023-10-06" @default.
- W3138975401 title "Goodness of Fit Testing for the Log-logistic Distribution Based on Type I Censored Data" @default.
- W3138975401 doi "https://doi.org/10.37119/jpss2023.v21i1.663" @default.
- W3138975401 hasPublicationYear "2023" @default.
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