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| ===Discrete Data===
| | #REDIRECT [[RGA_Data_Types#Discrete_Data]] |
| Discrete data is also referred to as success/failure or attribute data. It involves recording data from a test for a unit when there are only two possible outcomes: success or failure. An example of this is a missile that gets fired once and it either succeeds or fails. The data types available for analyzing discrete data with the RGA software are:
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| :• Sequential
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| :• Sequential with Mode
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| :• Grouped per Configuration
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| :• Mixed Data
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| {{sequential data}}
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| {{sequential with mode data}}
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| {{grouped per configuration data}}
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| {{discrete mixed data}}
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| ====Models for Discrete Data====
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| The following models can be used to analyze discrete data. Models and examples using the different data types are discussed in later chapters.
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| 1) Duane (Chapter 4)
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| 2) Crow-AMSAA (NHPP) (Chapter 5)
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| 3) Crow Extended (Chapter 9)
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| 4) Lloyd-Lipow (Chapter 6)
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| 5) Gompertz and Modified Gompertz (Chapter 7)
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| 6) Logistic (Chapter 8)
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