Research Article

Maximum Likelihood and Bayes Estimation in Randomly Censored Geometric Distribution

Table 3

Estimates for real data example.

MLESELFELFPLFLINEXConfidence intervals

Bayes estimates with informative priors








Asymptotic confidence intervals
θ = (0.8914, 0.9174)
λ = (0.9899, 0.9962)

Bayes estimates with noninformative priors




,
,


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)