Quality and Reliability Methods - SAS

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364 Reliability and Survival Analysis Chapter 19 Univariate Survival Analysis Figure 19.16 Fitted Distribution Plots for Three Distributions These plots can be transferred to other graphs through the use of graphic scripts. To copy the graph, context-click on the plot to be copied and select Customize. Highlight the desired script and copy it to the clipboard. On the destination plot, context-click and select Customize. Add a new script and paste the script from the clipboard into the window that results. Table 19.2 Various Weibull parameters in terms of JMP’s alpha and beta JMP Weibull alpha beta Wayne Nelson alpha=alpha beta=beta Meeker and Escobar eta=alpha beta=beta Tobias and Trindade c = alpha m = beta Kececioglu eta=alpha beta=beta Hosmer and Lemeshow exp(X beta)=alpha lambda=beta Blishke and Murthy beta=alpha alpha=beta
Chapter 19 Reliability and Survival Analysis 365 Univariate Survival Analysis Table 19.2 Various Weibull parameters in terms of JMP’s alpha and beta (Continued) Kalbfleisch and Prentice lambda = 1/alpha p = beta JMP Extreme Value lambda=log(alpha) delta=1/beta Meeker and Escobar s.e.v. mu=log(alpha) sigma=1/beta Interval Censoring With interval censored data, you only know that the events occurred in some time interval. The Turnbull method is used to obtain non-parametric estimates of the survival function. In this example from Nelson (1990, p. 147), microprocessor units are tested and inspected at various times and the failed units are counted. Missing values in one of the columns indicate that you don't know the lower or upper limit, and therefore the event is left or right censored, respectively. The data may be found in the sample data files at Microprocessor Data.jmp, and are shown in Figure 19.17. Figure 19.17 Microprocessor Data When you launch the Survival platform, specify the lower and upper time limits as two Y columns, count as Freq and check Plot Failure instead of Survival, as shown in Figure 19.18. Figure 19.18 Interval Censoring Launch Dialog
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Version 10 Quality and Reliability
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Chapter 2 Statistical Control Chart
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Chapter 11 Pareto Plots 187 Launch
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Index JMP Quality and Reliability M
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Index 419 Fit SEV 242 Fit Weibull 2
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Index 421 Q Quantiles table 356 R R
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Index 423 Weibull Plot 360 Westgard
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Quality and Reliability Methods - SAS

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