Statistical Inference for the Lomax Distribution under Progressively Type-II Censoring with Binomial Removal
This paper considers parameter estimations in Lomax distribution under progressive type-II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The maximum likelihood estimators (MLEs) are derived using the expectation-maximization (EM) algorithm. The Bayes estimates of the parameters are obtained using both the squared error and the asymmetric loss functions based on the Lindley approximation. We compare the performance of our procedures using a simulation study and real data.
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Bayesian estimation of fractional rnstein-uhlenbeck model parameters using the sir algorithm in financial derivatives pricing
*, Amir Haj Salmani, Mahdiyeh Tahmasbi
Journal of Quality Engineering and Management, Autumn 2024 -
Interval shrinkage estimation of two-parameter exponential distribution with random censored data
Ali Soori, , Mehdi Jabbari Nooghabi *, Farshin Hormozinejad, Mohammadreza Ghalani
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