A Simple Wide Range Approximation of Symmetric Binomial Distribution

The paper gives a wide range, uniform, local approximation of symmetric binomial distribution. The result clearly shows how one has to modify the classical de Moivre-Laplace normal approximation in order to give an estimate at the tail as well as to minimize the relative error.

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Publication Details

Journal
Entropy
Published
2024-12-30
DOI
https://doi.org/10.3390/e27010021
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A Simple Wide Range Approximation of Symmetric Binomial Distribution

Tamás Szabados
Entropy
Statistical Distribution Estimation and Applications
article

A Simple Wide Range Approximation of Symmetric Binomial Distribution

Tamás Szabados
article en

Abstract

The paper gives a wide range, uniform, local approximation of symmetric binomial distribution. The result clearly shows how one has to modify the classical de Moivre-Laplace normal approximation in order to give an estimate at the tail as well as to minimize the relative error.

EntropyVol. 27(1)
Budapest University of Technology and Economics (HU)
Openalex Percentile: Top 75%
Statistical Distribution Estimation and Applications
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