各种估计量计算算法的比较分析

A. Roenko, V. Lukin, I. Djurović, M. Chobanu
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引用次数: 1

摘要

考虑了无数估计器在分布位置参数估计中的应用。已知有大量的数值算法用于其计算,如括号搜索、多项式求根、不动点搜索、基于牛顿法的算法、顺序算法、T. Pander提出的方法等。本文简要介绍了上述计算算法及其性质。对得到的定位参数估计值的均方误差和运行速度进行了算法对比分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison analysis of myriad estimator calculation algorithms
Task of myriad estimator application for estimating distribution location parameter is considered. It is known that there is a great number of numerical algorithms for its calculation such as bracketed search, polynomial-root-finding, fixed point search, algorithm based on the Newton method, sequential algorithm, the method proposed by T. Pander and so on. This paper briefly describes aforementioned calculation algorithms and its properties. Algorithms' comparative analysis is performed with respect to both the mean square error of obtained estimates of location parameter and operating speed as well.
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