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2002•International Conference on Intelligent Processing and Manufacturing of MaterialsRequires access

MARCINKIEWICZ-TYPE STRONG LAW OF LARGE NUMBERS FOR DOUBLE ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES

Hassan Ali Azarnoosh

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Abstract

In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. Let { } ij X be a double sequence of pairwise

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In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. Let { } ij X be a double sequence of pairwise

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Available abstract

In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. Let { } ij X be a double sequence of pairwise

Key concepts: Pairwise comparison, Pairwise independence, Independence (probability theory), Law of large numbers, Mathematics, Random variable, Sequence (biology), Type (biology)

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MARCINKIEWICZ-TYPE STRONG LAW OF LARGE NUMBERS FOR DOUBLE ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES — Research Paper | ScholarLens