Inferences for two Lindley populations based on joint progressive type-II censored data
From MaRDI portal
Publication:5042095
DOI10.1080/03610918.2020.1751851OpenAlexW3019198103MaRDI QIDQ5042095
Publication date: 18 October 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1751851
Bayes estimationLindley distributionoptimum censoring schemejoint progressive type-II censoringgeneralized entropy loss function
Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Reliability estimation in Lindley distribution with progressively type II right censored sample
- On progressively censored generalized exponential distribution
- Statistical inference based on Lindley record data
- Lindley distribution and its application
- Expected values of the number of failures for two populations under joint type-II progressive censoring
- Exact likelihood inference for two exponential populations under joint type-II censoring
- Estimating the dimension of a model
- Point and interval estimation of Weibull parameters based on joint progressively censored data
- Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
- On the use of probability inequalities in random variate generation
- On Testing Equality of Two Exponential Distributions under Combined Type II Censoring
- Point estimation under asymmetric loss functions for left-truncated exponential samples
- On estimation of the PDF and CDF of the Lindley distribution
- Generalized inverted exponential distribution under progressive first-failure censoring
- Bayes Estimation Based on Joint Progressive Type II Censored Data Under LINEX Loss Function
- A new look at the statistical model identification
This page was built for publication: Inferences for two Lindley populations based on joint progressive type-II censored data