Estimation, prediction and life testing plan for the exponentiated Gumbel type-II progressive censored data
DOI10.57805/REVSTAT.V21I4.440zbMATH Open1541.6226MaRDI QIDQ6566805
Publication date: 3 July 2024
Published in: REVSTAT (Search for Journal in Brave)
EM algorithmimportance samplingLindley's approximationstochastic EM algorithmMH algorithmoptimal censoring
Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Bayesian inference (62F15) Bootstrap, jackknife and other resampling methods (62F40) Estimation in survival analysis and censored data (62N02)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Bayesian inference and life testing plans for generalized exponential distribution
- Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
- Theoretical comparison of bootstrap confidence intervals
- Bayesian inference for Pareto populations
- The stochastic EM algorithm: Estimation and asymptotic results
- Estimation of parameters from progressively censored data using EM algorithm
- Estimating the parameters of an inverse Weibull distribution under progressive type-I interval censoring
- Estimation and prediction for flexible Weibull distribution based on progressive type II censored data
- On Progressively Type-II Censored Two-parameter Rayleigh Distribution
- Goodness-of-fit test for Rayleigh distribution based on progressively type-II censored sample
- Estimation of stress–strength reliability for Marshall–Olkin distributions based on progressively Type-II censored samples
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