Estimation of \(R = \mathrm{P}[Y

DOI10.1134/S1995080221020086zbMath1464.62408OpenAlexW3153647830MaRDI QIDQ2019659

Neha Choudhary, Abhishek Tyagi, Bhupendra Kumar Singh

Publication date: 22 April 2021

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1995080221020086

zbMATH Keywords

Bayes estimatorGibbs samplermaximum-likelihood estimatoruniformly minimum variance unbiased estimatorprior distributionstress-strength reliabilityfluid between electrodes

Mathematics Subject Classification ID

Censored data models (62N01) Bayesian inference (62F15) Probability distributions: general theory (60E05) Applications of statistics to physics (62P35) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the estimation of the probabilities of a double linear inequality in the case of uniform and two-parameter exponential distributions
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Nonparametric statistical inference for \(\operatorname{P}(X < Y < Z)\)
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• On the estimation of PR(X₁< Y < X₂)
• On estimation ofR=P(Y<X) for exponential distribution under progressive type-II censoring
• Monte Carlo sampling methods using Markov chains and their applications
• The Monte Carlo Method

This page was built for publication: Estimation of \(R = \mathrm{P}[Y<X<Z]\) under progressive type-II censored data from Weibull distribution