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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
 
:• Sequential with Mode
 
:• Grouped per Configuration
 
:• Mixed Data
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{{sequential data}}
 
{{sequential with mode data}}
 
{{grouped per configuration data}}
 
{{discrete mixed data}}
 
====Models for Discrete Data====
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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Latest revision as of 00:53, 24 August 2012

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