Statistical inference for a Gumbel type-II distribution under hybrid censoring

DOI10.1080/00949655.2022.2028282OpenAlexW4211141269MaRDI QIDQ5086100

Farha Sultana, Manoj Kumar Rastogi, Yogesh Mani Tripathi, Amulya Kumar Mahto

Publication date: 1 July 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2022.2028282

zbMATH Keywords

predictionmaximum likelihood estimateHPD intervalBayes estimateoptimal censoring schemeLindley method

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Statistics (62-XX) Estimation in survival analysis and censored data (62N02)

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Inference for a competing risks model with Burr XII distributions under generalized progressive hybrid censoring

Cites Work

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• On characterization of certain distributions of \(k\)th lower (upper) record values
• On simple calculation of the Fisher information in hybrid censoring schemes
• Bayesian variable sampling plans for the exponential distribution with type I censoring
• Generalized inverted exponential distribution under hybrid censoring
• Inference on unknown parameters of a Burr distribution under hybrid censoring
• Reliability estimation in generalized inverted exponential distribution with progressively type II censored sample
• One- and Two-Sample Bayesian Prediction Intervals Based on Type-I Hybrid Censored Data
• Parameter estimation of the hybrid censored log-normal distribution
• Estimating the Parameters of the Generalized Exponential Distribution in Presence of Hybrid Censoring
• Hybrid censoring schemes with exponential failure distribution
• Conditional confidence interval estimation for the inverse weibull distribution based on censored generalized order statistics
• Model Selection and Multimodel Inference
• Equation of State Calculations by Fast Computing Machines
• Prediction for future failures in Weibull distribution under hybrid censoring
• Monte Carlo sampling methods using Markov chains and their applications
• Truncated Life Tests in the Exponential Case
• A new look at the statistical model identification