Chebyshev's inequality
专有名词
英文释义
专有名词
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The theorem that in any data sample with finite variance, the probability of any random variable X that lies k or more standard deviations away from the mean is no more than 1/k², i.e. assuming mean μ and standard deviation σ, the probability is
— Pr (|X-μ|≥kσ)≤1/(k²)
词源
From the surname of Russian mathematician Pafnuty Chebyshev (1821–1894), the discoverer.
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