{"title":"Comparison of Newton-Raphson Algorithm and Maxlik Function","authors":"Kim-Hung Pho, Vu-Thanh Nguyen","doi":"10.25073/JAEC.201824.219","DOIUrl":null,"url":null,"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.","PeriodicalId":250655,"journal":{"name":"J. Adv. Eng. Comput.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Adv. Eng. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25073/JAEC.201824.219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.