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An Error Term in the Central Limit Theorem for Sums of Discrete Random Variables

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We consider sums of independent identically distributed random variables whose distributions have $d+1$ atoms. Such distributions never admit an Edgeworth expansion of order $d$, but we show that for almost… Click to show full abstract

We consider sums of independent identically distributed random variables whose distributions have $d+1$ atoms. Such distributions never admit an Edgeworth expansion of order $d$, but we show that for almost all parameters the Edgeworth expansion of order $d-1$ is valid and the error of the order $d-1$ Edgeworth expansion is typically of order $n^{-d/2}.$

Keywords: error term; central limit; term central; random variables; order; edgeworth expansion

Journal Title: International Mathematics Research Notices
Year Published: 2023

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