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Research Article | Open Access

Truncation point estimation of truncated normal samples and its applications

Shenglan Peng( )Zikang Wan
Computer Department, Jingdezhen Ceramic University, Jingdezhen 330403, China
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Abstract

The moment estimates and maximum likelihood estimates of the truncation points in the truncated normal distribution are given, as well as the interval estimates for large samples. The estimation method of truncation point is applied to the assembly of DNA sequencing data, and moment estimation, maximum likelihood estimation and interval estimation of gap length are obtained. Monte Carlo simulations show that the experimental results are very close to the theoretical estimates. When the estimation method given in this paper is applied to a real DNA sequencing dataset, ideal estimation results are also obtained.

CLC number: 62F10, 62P10

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AIMS Mathematics
Pages 19083-19104

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Cite this article:
Peng S, Wan Z. Truncation point estimation of truncated normal samples and its applications. AIMS Mathematics, 2022, 7(10): 19083-19104. https://doi.org/10.3934/math.20221048

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Received: 13 June 2022
Revised: 27 July 2022
Accepted: 23 August 2022
Published: 15 October 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)