 |
 |
|
 |
 |
|
 |
 |
 |
The Growth Data Folios page of RGA's Application Setup contains default settings that will be applied when you create a new folio in RGA. Note that some of the configurable settings that are saved with the folio can still be modified from the control panel and others can now be modified via the Item Properties window.
Data Sheet Options
Show Alter Data Type enables the Alter Parameters command in all growth data folios. The command enables you to experiment with possible alternative scenarios by allowing you to alter the values of the calculated parameters.
Use advanced systems view uses the Advanced Systems View by default when you create a new data sheet that offers both the Normal View and Advanced Systems View. (See Normal and Advanced Systems View.)
Warn when transferring data with excluded events displays a message when you transfer a data set that has some coded events excluded from the calculations. This applies only when you transfer data from a Multiple Systems Event Code data sheet to another type of data sheet.
Default Number of Systems
For 'Multiple Systems - Known Operating Times' data sheets specifies the number of "Time System" columns that will appear by default in the data sheet.
For all other fielded/developmental multiple systems data types specifies the number of systems that appear by default in the navigation panel of the Advanced Systems View. (See Normal and Advanced Systems View.)
Statistical Tests. When you use the Crow-AMSAA (NHPP) or Crow Extended models, RGA automatically performs statistical tests on the calculated data set. Use the check boxes to select which test results to display in the Result area of the growth data folio control panel.
Show Chi-Squared applies to grouped failure times only. The test evaluates the hypothesis that the failure times follow a non-homogeneous Poisson process (NHPP).
Show Cramér-von Mises (CVM) applies to non-grouped failure times where there are no gaps in the data. The test evaluates the hypothesis that the failure times follow a non-homogeneous Poisson process (NHPP).
Show Laplace Trend applies to multiple systems analysis only. The test evaluates the hypothesis that a trend does not exist in the data, and displays in the analysis results whether the system reliability is improving, deteriorating or staying the same.
Show Common Beta Hypothesis (CBH) applies to multiple systems analysis only. The test evaluates whether all the systems in the data set have similar beta values (i.e., operated in a similar manner).
Default Significance Level specifies the significance level used in the statistical tests.
© 1992-2018. HBM Prenscia Inc. ALL RIGHTS RESERVED.
 |
E-mail Link |