Independent and Identically Distributed Random (IID) Data Base
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An Independent and Identically Distributed Random (IID) Data Base is a data base that approximates an IID random variable set (where all random variables are in a statistical independence relation and in an identical distribution relation).
- Context:
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- Example(s):
- an Random Sample IID Dataset, such as: Fisher's Iris Data Base.
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- Counter-Example(s):
- a Non-IID Dataset, such as a correlated variable set, such as a temporal dataset or a multi-relational dataset.
- See: Random Experiment, Random Intervention Study, Law of Large Numbers, Time Dependency.