文章基本信息

标题：Selection for Parameter  by Using Newton-Raphson Method
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作者：Wan Muhamad Amir Bin W Ahmad ; Nyi Nyi Naing ; Mohd Tengku Ariff Raja Hussein 等
期刊名称：Statistika
印刷版ISSN：1411-5891
出版年度：2007
卷号：7
期号：2
页码：33-37
DOI：10.29313/jstat.v7i2.960
出版社：Universitas Islam Bandung
摘要：Many problems in mathematics or statistics involve, at some point or another, solving an equation for an unknown quantity. To solve the problem many of methods are applied as such Maximum Likelihood Method, Least Square Method and Newton-Raphson Method and much more. One of the famous methods is Newton Method. The Newton-Raphson method or Newton–Fourier method is an efficient algorithm for finding approximations to the zeros (or roots) of a real-valued function. As such, it is an example of a root-finding algorithm. It can also be used to find a minimum or maximum value of such a function, by finding a zero in the function's first derivative. In this paper, we will work with Newton-Raphson method to estimate the value of for the use of transformation. The value of , determine the kind of transformation should be done according to the data. These papers emphasize the Newton Method in finding the value of by using C software.
关键词：Newton-Raphson Method and Parameter  .