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Min-entropy

A lower bound on the entropy of a random variable. The precise formulation for min-entropy is \((-\log_{2} \max p_{i})\) for a discrete distribution having probabilities \(p_{1},...,p_{k}\). Min-entropy is often used as a measure of the unpredictability of a random variable.

Source: NIST IR 8427 | Category:

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	{{CyberTerm\|definition=A lower bound on the entropy of a random variable. The precise formulation for min-entropy is ~~<span class="math-tex">~~\((-\log_{2} \max p_{i})\)~~</span>~~ for a discrete distribution having probabilities ~~<span class="math-tex">~~\(p_{1},...,p_{k}\)~~</span>~~. Min-entropy is often used as a measure of the unpredictability of a random variable.\|source=NIST IR 8427}}		{{CyberTerm\|definition=A lower bound on the entropy of a random variable. The precise formulation for min-entropy is \((-\log_{2} \max p_{i})\) for a discrete distribution having probabilities \(p_{1},...,p_{k}\). Min-entropy is often used as a measure of the unpredictability of a random variable.\|source=NIST IR 8427}}