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volf-on bayes assessing of goodness-of-fit in lifetime models.pdf
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🔗 Source: library.utia.cas.cz
📊 Size: 154 KB
📄 Pages: 7 pages
⬇️ Downloads: 405

Summary

The contribution deals with statistical tests of model fit, specifically focusing on Bayes assessment of goodness-of-fit in lifetime models. Martingale residuals are defined for lifetime models based on failure intensities, and their properties are analyzed. A Bayes procedure for estimation in Cox's and AFT models is presented, with the main concern being the Bayes construction of residual processes and goodness-of-fit tests based on them. The method is illustrated with an example using randomly generated data. The paper discusses the properties of residuals, including the Nelson-Aalen estimator, and introduces a Bayes variant of residual analysis, which assumes all model components as random quantities with a prior probability distribution. The result is a posterior distribution of model components, estimated using Markov Chain Monte Carlo (MCMC) methods.

Description

The contribution deals with statistical tests of model fit, specifically focusing on Bayes assessment of goodness-of-fit in lifetime models.

Technical Information

  • File Format: PDF
  • File Size: 154 KB
  • Pages: 7
  • Language: EN
  • Total Downloads: 405
  • Last Updated: 20 hours ago

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