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Description: Returns a specified parameter value.
Syntax: PARAMETER_S(Data_Src, Param_index, [Confidence Level])
Data_Src is the source data sheet from which the distribution is selected.
Param_index is the index specifying the parameter to be returned. The parameter index corresponds to the order that the parameters appear in the calculated results in the folio, as shown in the next table. Note the following in this table:
The Shape parameter varies based on distribution
Weibull = Beta
Lognormal = Std
Exponential = None, so every other parameter is shifted down one index
The number of Alpha parameters beyond Alpha(0) depends on the number of stress types (e.g., for 2 stress types, Alpha(0)-Alpha(2) will be present).
| Model | Index 1 | Index 2 | Index 3 | Index 4 | Index 5 | Index 6 | Index 7 | Index 8 | Index 9 | Index 10 |
| Arrhenius | Shape | B | C | |||||||
| Eyring | Shape | A | B | |||||||
| Inverse Power Law | Shape | K | N | |||||||
| Temperature-Humidity | Shape | A | B | Phi | ||||||
| Temperature-NonThermal | Shape | B | C | n | ||||||
| Generalized Eyring | Shape | A | B | C | D | |||||
| Proportional Hazards | Shape | Alpha(0 | Alpha(1) | Alpha(2) | Alpha(3) | Alpha(4) | Alpha(5) | Alpha(6) | Alpha(7) | Alpha(8) |
| General Log-Linear | Shape | Alpha(0) | Alpha(1) | Alpha(2) | Alpha(3) | Alpha(4) | Alpha(5) | Alpha(6) | Alpha(7) | Alpha(8) |
| Cumulative Damage | Shape | Alpha(0) | Alpha(1) | Alpha(2) | Alpha(3) | Alpha(4) | Alpha(5) | Alpha(6) | Alpha(7) | Alpha(8) |
Confidence Level is the percentage (entered as a decimal value) for the 1-sided confidence bounds.
Remarks:
The Data_Src can be one of the following values:
If using a default data source, it must be either 1, 2, 3 or 4, as selected from the Data Source Index drop-down list.
It can take a data sheet name (e.g., "Folio1!Data 1").
It can take a variable name defined in via the Defined Names window (e.g., datasource).
Confidence Level is an optional value and, if specified, must be greater than 0 and less than 1.
Example:
PARAMETER_S("Folio1!Data 1",1,0.9) = 5.1332
Note that this value will vary depending on the source data set.
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