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On the Convergence and Law of Large Numbers for the Non-Euclidean Lp -Means

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This paper describes and proves two important theorems that compose the Law of Large Numbers for the non-Euclidean L p -means, known to be true for the Euclidean L 2… Click to show full abstract

This paper describes and proves two important theorems that compose the Law of Large Numbers for the non-Euclidean L p -means, known to be true for the Euclidean L 2 -means: Let the L p -mean estimator, which constitutes the specific functional that estimates the L p -mean of N independent and identically distributed random variables; then, (i) the expectation value of the L p -mean estimator equals the mean of the distributions of the random variables; and (ii) the limit N → ∞ of the L p -mean estimator also equals the mean of the distributions.

Keywords: numbers non; euclidean means; law large; large numbers; non euclidean

Journal Title: Entropy
Year Published: 2017

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