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All figures (15)
Table 1. The Machine Tool Failure Data
Figure 4. Estimated Posterior Densities of ‚2 for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 5. Estimated Posterior Densities of ‚3 for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 3. Estimated Posterior Densities of ‚1 for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 12. Expected Cost per Unit Time for Various BlockReplacement Periods for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Table 2. The Posterior Means (standard deviations) of the Covariate Effect and Shape Parameters for the Parametric and Semiparametric (MDP) Models
Table 3. Bayes Factors in Favor of Nonzero Covariate Effects, That is, ‚k 6D 0, Under the Parametric and Semiparametric (MDP) Models
Figure 6. Estimated Posterior Densities of ƒ for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 7. Boxplots of the Posterior Distribution of the Survival Probability at Fixed Lifetimes Under the Parametric Model.
Figure 11. Expected Cost per Unit Time for Various AgeReplacement Periods for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 8. Boxplots of the Posterior Distribution of the Survival Probability at Fixed Lifetimes Under the Semiparametric Model.
Figure 10. Boxplots of the Posterior Predictive Densities for 100 Randomly Selected Partitions for the Parametric and Semiparametric (MDP) Models.
Figure 9. Medians of the Posterior Distribution of the Survival Probability at Fixed Times for the Parametric (¢ ¢ ¢ ) and Semiparametric (—) Models.
Figure 1. Boxplots of the Marginal Posterior Distributions of the Log Scale Parameters of the Machine Tools Under the Parametric and Semiparametric Models.
Figure 2. Marginal Posterior Distribution of the Number of Groups of i ’s in the Semiparametric Model.
Journal Article
•
DOI
•
A Bayesian Semiparametric Analysis of the Reliability and Maintenance of Machine Tools
[...]
Jason R. W. Merrick
,
Refik Soyer
,
Thomas A. Mazzuchi
01 Feb 2003
-
Technometrics