Selection for Parameter  by Using Newton-Raphson Method

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 New...

Full description

Bibliographic Details
Main Authors: Wan Muhamad Amir Bin W Ahmad, Nyi Nyi Naing, Mohd Tengku Ariff Raja Hussein
Format: Article
Language:Indonesian
Published: Universitas Islam Bandung 2014-10-01
Series:Statistika
Online Access:http://ejournal.unisba.ac.id/index.php/statistika/article/view/960
Description
Summary: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.
ISSN:1411-5891