A Brief Discussion on Parameter Estimation and its Applications

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Mathematical Computation

Mathematical Computation is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mathematical theory and computing application on the combination of mathematical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest theoretical and apolitical mathematics improvement in the fields of nature science, engineering technology, economy... [More] Mathematical Computation is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of mathematical theory and computing application on the combination of mathematical theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest theoretical and apolitical mathematics improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of mathematics theory development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of mathematics theory and application technology.

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ISSN Print:2327-0519

ISSN Online:2327-0527

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Website: http://www.ivypub.org/mc/

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Paper Infomation

A Brief Discussion on Parameter Estimation and its Applications

Full Text(PDF, 322KB)

Author: Yintao Lian, Li Ma, Wangtian Wang, Yuting Wang

Abstract: Parameter estimation is a crucial branch of mathematical statistics. This paper aims to theoretically clarify the relationships among various specific estimation methods of parameter estimation and their practical significance. The focus is primarily on the fundamental theories of moment estimation, maximum likelihood estimation, and interval estimation, systematically examining their advantages and limitations. By introducing practical examples, the paper further elucidates the underlying principles of parameter estimation, offering a more profound understanding for the selection and application of these methods.

Keywords: Moment Estimation, Maximum Likelihood Estimation, Interval Estimation

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