Tensor: Pure and Applied Mathematics Journal
Vol 3 No 2 (2022): Tensor: Pure and Applied Mathematics Journal

Analisis Pendapatan Menggunakan Metode Weighted Least Square (Wls) dengan Fungsi Pembobot Huber

Jefri Radjabaycolle (Science Computation)
Abraham Z Wattimena (Unknown)
Indriana Umul Mu'minin (Unknown)
Gabriela Haumahu (Unknown)



Article Info

Publish Date
14 Nov 2022

Abstract

The Weighted Least Square (WLS) method is a development of the OLS method which will provide a more accurate solution than the OLS method when outliers are identified in the data. It is possible that the model generated by the OLS method still contains outliers, while the WLS method minimizes outliers in the data. The income result determined using the OLS method is less than the income result using the WLS method, which means that if a fixed value is given (according to the standard) for each result of the factors that affect the income result in the OLS method, the average fisherman income is IDR 2,225 .220. While the average income of fishermen using the WLS method is Rp. 1,015,840. There were two outliers identified using the OLS method and after using the WLS method there were no outliers.

Copyrights © 2022






Journal Info

Abbrev

tensor

Publisher

Subject

Computer Science & IT Mathematics

Description

Tensor: Pure and Applied Mathematics Journal is an international academic open access journal that gains a foothold in the field of mathematics and its applications which is issued twice a year. The focus is to publish original research and review articles on all aspects of both pure and applied ...