Assessing the effect of E-Bayesian inference for Poisson inverse exponential distribution parameters under different loss functions and its application
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Publication:5095976
DOI10.1080/03610926.2020.1847293OpenAlexW3109489588MaRDI QIDQ5095976
Sanjay Kumar Singh, Umesh Singh, Manoj Kumar, Anurag Pathak
Publication date: 12 August 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1847293
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- The art of progressive censoring. Applications to reliability and quality
- Bayesian estimation for the exponentiated Weibull model under type II progressive censoring
- E-Bayesian estimation for the Lomax distribution based on type-II censored data
- E-Bayesian estimation for the Burr type XII model based on type-2 censoring
- Estimation of failure probability and its applications in lifetime data analysis
- Expected total test time and Bayesian estimation for generalized Lindley distribution under progressively type-II censored sample where removals follow the beta-binomial probability law
- A generalization of the exponential-Poisson distribution
- Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation.
- Progressive censoring methodology: an appraisal (with comments and rejoinder)
- Estimation of the scale parameter of the Rayleigh distribution under general progressive censoring
- E-Bayesian estimation of failure probability and its application
- On distributions Of generalized order statistics
- The E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter
- E-Bayesian and hierarchical Bayesian estimations for the system reliability parameter based on asymmetric loss function
- How to Identify a Bathtub Hazard Rate
- E-Bayesian Estimation and Hierarchical Bayesian Estimation of Failure Probability
- Bayesian Estimation and Prediction Using Asymmetric Loss Functions
- Statistical analysis of Weibull distributed lifetime data under Type II progressive censoring with binomial removals
- Bayesian estimation and prediction for Weibull model with progressive censoring
- E-Bayesian estimation and its E-posterior risk of the exponential distribution parameter based on complete and type I censored samples
- E-Bayesian estimation of the exponentiated distribution family parameter under LINEX loss function
- E-Bayesian estimations of parameter and its evaluation standard: E-MSE (expected mean square error) under different loss functions
- E-Bayesian estimation and its E-MSE under the scaled squared error loss function, for exponential distribution as example
- E-Bayesian estimations of the reliability and its E-posterior risk under different loss functions
- The E-Bayesian and hierarchical Bayesian estimations of Pareto distribution parameter under different loss functions
- The E-Bayesian and hierarchical Bayesian estimations for the proportional reversed hazard rate model based on record values
- The Poisson–exponential distribution: a Bayesian approach
- A new compounding life distribution: the Weibull–Poisson distribution
- Progressively Censored Samples in Life Testing
- The Monte Carlo Method
- Conditional inference procedures for the Laplace distribution when the observed samples are progressively censored.
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