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Abstract In a recent paper the authors proved a nonuniform local limit theorem concerning normal approximation of the point probabilities P (S=k) P (S = k) when S=₈=₁^nX₈ S = ∑ i = 1 n X i and X₁, X₂, , X₍ X 1, X 2, …, X n are independent Bernoulli random variables that may have different success probabilities. However, their main result contained an undetermined constant, somewhat limiting its applicability. In this paper we give a nonuniform bound in the same setting but with explicit constants. Our proof uses Stein’s method and, in particular, the K -function and concentration inequality approaches. We also prove a new uniform local limit theorem for Poisson binomial random variables that is used to help simplify the proof in the nonuniform case.
Auld et al. (Fri,) studied this question.
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