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This refers to any bias in a predictive model which is the result of the omission of variables that are relevant to the outcome. The omission of a relevant variable can, among other things, lead ...
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Variable vs. Attribute Data: What’s the Difference? - MSN
Key Points Variable and attribute data are used in the creation of control charts. You can use both types of data to measure performance or KPIs. Variable and attribute data can be further ...
Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness ...
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