Journal of Research in Mathematics Trends and Technology
Vol. 2 No. 1 (2020): Journal of Research in Mathematics Trends and Technology (JoRMTT)

Loglinear Model Formation using Hierachial Backward Method

Siti Fatimah Sihotang (Universitas Potensi Utama, Medan, 59391, Indonesia)
Zuhri (Universitas Potensi Utama, Medan, 59391, Indonesia)



Article Info

Publish Date
24 Feb 2020

Abstract

The loglinear model is a special case of a general linear model for poissondistributed data. The loglinear model is also a number of models in statistics that are used todetermine dependencies between several variables on a categorical scale. The number ofvariables discussed in this study were three variables. After the variables are investigated,the formation of the loglinear model becomes important because not all the modelinteraction factors that exist in the complete model become significant in the resultingmodel. The formation of the loglinear model in this study uses the Backward Hierarchicalmethod. This research makes loglinear modeling to get the model using the HierarchicalBackward method to choose a good method in making models with existing examples.From the challenging examples that have been done, it is known that the HierarchicalReverse method can model the third iteration or scroll. Then, also use better assessmentmethods about faster workmanship and computer-sponsored assessments that are used moreefficiently through compatibility testing for each model made

Copyrights © 2020






Journal Info

Abbrev

jormtt

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics

Description

JoRMTT is an international blind peer-review journal dedicated to interchange for the results of research in mathematical sciences and related fields. The journal publishes papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, ...