2022Communication in Statistics- Theory and MethodsRequires access

On the Jajte weak law of large numbers for exchangeable random variables

Habib Naderi, Mehdi Jafarı, Przemysław Matuła, Morteza Mohammadi

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Abstract

In this paper, we prove an extension of the Jajte weak law of large numbers for exchangeable random variables. We make a simulation to illustrate the asymptotic behavior in the sense of convergence in probability for weighted sums of exchangeable weighted random variables.

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What this paper is about

In this paper, we prove an extension of the Jajte weak law of large numbers for exchangeable random variables. We make a simulation to illustrate the asymptotic behavior in the sense of convergence in probability for weighted sums of exchangeable weighted random variables.

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Available abstract

In this paper, we prove an extension of the Jajte weak law of large numbers for exchangeable random variables. We make a simulation to illustrate the asymptotic behavior in the sense of convergence in probability for weighted sums of exchangeable weighted random variables.

Key concepts: Law of large numbers, Mathematics, Random variable, Convergence of random variables, Extension (predicate logic), Exchangeable random variables, Convergence (economics), Sum of normally distributed random variables

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