Template:Discrete data

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:


 * •	Sequential


 * •	Sequential with Mode


 * •	Grouped per Configuration


 * •	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. 1)	Duane (Chapter 4) 2)	Crow-AMSAA (NHPP) (Chapter 5) 3)	Crow Extended (Chapter 9) 4)	Lloyd-Lipow (Chapter 6) 5)	Gompertz and Modified Gompertz (Chapter 7) 6)	Logistic (Chapter 8)