Comparison of Newton-Raphson Algorithm and Maxlik Function

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 d...

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Main Authors: Kim-Hung Pho, Vu-Thanh Nguyen
Format: Article
Language:English
Published: Ton Duc Thang University 2018-12-01
Series:Journal of Advanced Engineering and Computation
Online Access:http://jaec.vn/index.php/JAEC/article/view/219
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author Kim-Hung Pho
Vu-Thanh Nguyen
author_facet Kim-Hung Pho
Vu-Thanh Nguyen
author_sort Kim-Hung Pho
collection DOAJ
description 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.
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spelling doaj.art-f3932b734cbc415d8bda8fb2869f8f662022-12-21T17:31:51ZengTon Duc Thang UniversityJournal of Advanced Engineering and Computation1859-22442588-123X2018-12-012428129210.25073/jaec.201824.21980Comparison of Newton-Raphson Algorithm and Maxlik FunctionKim-Hung Pho0Vu-Thanh Nguyen1Ton Duc Thang University, Ho Chi Minh City, VietnamTon Duc Thang University, Ho Chi Minh City, VietnamOur 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.http://jaec.vn/index.php/JAEC/article/view/219
spellingShingle Kim-Hung Pho
Vu-Thanh Nguyen
Comparison of Newton-Raphson Algorithm and Maxlik Function
Journal of Advanced Engineering and Computation
title Comparison of Newton-Raphson Algorithm and Maxlik Function
title_full Comparison of Newton-Raphson Algorithm and Maxlik Function
title_fullStr Comparison of Newton-Raphson Algorithm and Maxlik Function
title_full_unstemmed Comparison of Newton-Raphson Algorithm and Maxlik Function
title_short Comparison of Newton-Raphson Algorithm and Maxlik Function
title_sort comparison of newton raphson algorithm and maxlik function
url http://jaec.vn/index.php/JAEC/article/view/219
work_keys_str_mv AT kimhungpho comparisonofnewtonraphsonalgorithmandmaxlikfunction
AT vuthanhnguyen comparisonofnewtonraphsonalgorithmandmaxlikfunction