Goodness of Fit Testing for the Log-logistic Distribution Based on Type I Censored Data
| Autor: | Samah Ahmed, Ayman Baklizi, Reza Pakyari |
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| Rok vydání: | 2023 |
| Zdroj: | Journal of Probability and Statistical Science. 21 |
| ISSN: | 2816-9646 1726-3328 |
| DOI: | 10.37119/jpss2023.v21i1.663 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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