Geometry of an accelerated model with censored data
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Publication:507974
DOI10.1016/J.CAM.2016.11.050zbMath1357.62308OpenAlexW2559788425MaRDI QIDQ507974
Fode Zhang, Chunfang Zhang, Yimin Shi
Publication date: 9 February 2017
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2016.11.050
Asymptotic distribution theory in statistics (62E20) Censored data models (62N01) Bayesian inference (62F15) Reliability and life testing (62N05)
Related Items (3)
Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data ⋮ Amari-Chentsov structure on the statistical manifold of models for accelerated life tests ⋮ Geometry on the statistical manifold induced by the degradation model with soft failure data
Cites Work
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- Asymptotic properties of Bayesian predictive densities when the distributions of data and target variables are different
- Statistical inference for competing risks model in step-stress partially accelerated life tests with progressively type-I hybrid censored Weibull life data
- Reference optimality criterion for planning accelerated life testing
- The maximum likelihood prior
- Geometry of exponential family with competing risks and censored data
- Geometry of the \(q\)-exponential distribution with dependent competing risks and accelerated life testing
- Differential-geometrical methods in statistics
- On the Fisher information and design of a flexible progressive censored experiment
- Hybrid censoring: models, inferential results and applications
- Inference for a step-stress partially accelerated life test model with an adaptive type-II progressively hybrid censored data from Weibull distribution
- Exact likelihood inference for the two-parameter exponential distribution under type-II progressively hybrid censoring
- An Introduction to Statistical Computing
- Asymptotic Comparison Between Constant-stress Testing and Step-stress Testing for Type-I Censored Data from Exponential Distribution
- On asymptotic properties of predictive distributions
- On Parametric Bootstrapping and Bayesian Prediction
- Bayes estimation and expected termination time for the competing risks model from Gompertz distribution under progressively hybrid censoring with binomial removals
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