Research Article
Maximum Likelihood and Bayes Estimation in Randomly Censored Geometric Distribution
Table 3
Estimates for real data example.
| MLE | SELF | ELF | PLF | LINEX | Confidence intervals |
| | Bayes estimates with informative priors | |
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| Asymptotic confidence intervals θ = (0.8914, 0.9174) λ = (0.9899, 0.9962) |
| | Bayes estimates with noninformative priors | |
| ,
| , |
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| HPD credible intervals θ = (0.8891, 0.9205) λ = (0.9908, 0.9976) Credible intervals θ = (0.8906, 0.9257) λ = (0.9890, 0.9977) |
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