In some reliability studies, observations may be truncated, which is similar to but different from censoring, arises when observations are actually observed only when they take on values in a particular range. This paper presents maximum the likelihood method for the parameters truncated log-logistic distribution, the reliability function at mission time (to) can be obtained. A numerical example is given.
Attia, A., & Kraidi, K. (2003). Maximum Likelihood Estimation of the Parameters of Truncated Log-Logistic Distribution Based on Censored Samples. The Egyptian Statistical Journal, 47(1), 1-10. doi: 10.21608/esju.2003.313774
MLA
A. F. Attia; K. Kraidi. "Maximum Likelihood Estimation of the Parameters of Truncated Log-Logistic Distribution Based on Censored Samples", The Egyptian Statistical Journal, 47, 1, 2003, 1-10. doi: 10.21608/esju.2003.313774
HARVARD
Attia, A., Kraidi, K. (2003). 'Maximum Likelihood Estimation of the Parameters of Truncated Log-Logistic Distribution Based on Censored Samples', The Egyptian Statistical Journal, 47(1), pp. 1-10. doi: 10.21608/esju.2003.313774
VANCOUVER
Attia, A., Kraidi, K. Maximum Likelihood Estimation of the Parameters of Truncated Log-Logistic Distribution Based on Censored Samples. The Egyptian Statistical Journal, 2003; 47(1): 1-10. doi: 10.21608/esju.2003.313774
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