文章基本信息

标题：EFEKTIVITAS METODE NEW STEPWISE DALAM PEMILIHAN VARIABEL PADA MODEL REGRESI GANDA
本地全文：下载
作者：Thamrin Tayeb
期刊名称：Lentera Pendidikan: Jurnal Ilmu Tarbiyah dan Keguruan
印刷版ISSN：1979-3472
电子版ISSN：2580-5223
出版年度：2012
卷号：15
期号：2
页码：161-174
DOI：10.24252/lp.2012v15n2a3
语种：English
出版社：Lembaga Pendidikan dan Tenaga Kependidikan (Center for Teacher Training) Faculty of Tarbiyah and Teacher Training Universitas Islam Negeri Alauddin Makassar in collaboration with Lecturer Consortium of Tarbiyah and Teacher Training
摘要：New stepwise method is a method of selecting predictor variables in a linear reg- ression model. This method is an extension of the principal component regressi- on,and consists of the selection of the original predictor variables iteratively at the same time,a group of main subset component is selected repeatedly. This method has also the basic properties of the stepwise method. Thus we will get the best combination of stepwise selection and principal component selection methods. Model that is obtained by using this method characterizes a low-valued PRESS. The application of this method is not only for linear model,but also can be expanded to generalized linear models. The comparison of both methods are based on the R2 criteria in the variable selection,obtained R2 value results which are almost the same as those models in the case of solid waste of data,so having payed fully attention to the number of predictor variables entered into the mo- dels,it can be said that the new stepwise method tends to be better than the prin- cipal component regression.
关键词：Multikolinearitas;pemilihan variabel;komponen utama