Comparison of Newton-Raphson Algorithm and Maxlik Function

Kim-Hung Pho, Vu-Thanh Nguyen
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引用次数: 8

Abstract

Our main objective is in antagonizing the performance of two approaches: the Newton-Raphson (N-R) algorithm and maxLik function in the statistical software R to obtain optimization roots of estimating functions. We present the approach of algorithms, examples and discussing about two approaches in detail. Besides, we prove that the N-R algorithm can perform if our data set contain missing values, while maxLik function cannot execute in this situation. In addition, we also compare the results, as well as, the time to run code to output the result of two approaches through an example is introduced in [1].This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.
Newton-Raphson算法与Maxlik函数的比较
我们的主要目标是对抗统计软件R中的Newton-Raphson (N-R)算法和maxLik函数两种方法的性能,以获得估计函数的优化根。给出了该方法的算法、实例,并对两种方法进行了详细讨论。此外,我们证明了N-R算法在我们的数据集包含缺失值时可以执行,而maxLik函数在这种情况下不能执行。此外,我们还比较了两种方法的结果,并通过[1]中的一个示例介绍了运行代码输出两种方法的结果所需的时间。这是一篇在知识共享署名许可(http://creativecommons.org/licenses/by/4.0/)条款下发布的开放获取文章,该许可允许在任何媒介上不受限制地使用、分发和复制,只要原始作品被适当引用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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