Metode Regresi Ridge Untuk Mengatasi Kasus Multikolinear
DOI:
https://doi.org/10.21512/comtech.v2i1.2782Keywords:
multicolinear, Ridge regressionAbstract
Multicolinear is a case that occurs in multi-linear regression analysis. Using multicolinear, it will be difficult to separate the influence of each independent variable towards the response variables. It also occurs in a farm production like cabbage. To solve this problem, Ridge regression method is used. This research aims to obtain a Ridge regression model to solve the multicolinear case. By using this method, the alleged regression coefficient is obtained by variance inflation factor less than ten for six free variables.
Plum Analytics
References
Haerunissa. (2004), Penggunaan Metode Regresi Komponen Utama pada Kasus Data yang Memiliki Kasus Kolinear Ganda. Skripsi S1. Kendari: Jurusan Matematika, FMIPA Universitas Haluoleo.
Hoerl, A. E., and Kennard, R. W. (1970). Ridge Regression: Biased Estimation for Nonorthogonal Problems. A Journal of Statistics for the Physical Chemical and Engineering Sciences, 12 (1), 55-67.
Rietveld, P., dan Sunaryanto, L. T. (1994). 87 Kasus Pokok dalam Regresi Berganda (edisi pertama). Yogyakarta: Andi Offset.
Ryan, T. P. (1997). Modern Regression Method. New York: Wiley.
Supranto, J. (1986). Pengantar Probabilita dan Statistik Induktif (edisi pertama). Jakarta: Erlangga.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows:
