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Hypothesis Testing of Spatial and Temporal Weighted Ordinal Logistic Regression

  • Institut Teknologi Sepuluh Nopember
  • Bina Nusantara University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Regression is one of the most popular statistical methods. One of the reasons for this popularity is that it can suggest which independent variable significantly affects the dependent variable. This suggestion helps decision-makers have an overview of current or past situations and compose important future actions. This research proposes Spatial and Temporal Weighted Ordinal Logistic Regression (STWOLR) as an extension of the regression method. STWOLR describes the relationships between ordinal dependent variable and a number of independent variables. In STWOLR, there are an estimated model, simultaneous test hypothesis, and partial hypothesis test. These three points are the general points that the researcher usually have when using regression as their analysis method. The objective of this research is to determine the form of simultaneous and partial tests for STWOLR using the maximum likelihood ratio test. At the end of this article, we have the statistics test and the rejection rule for both hypothesis tests.

Original languageEnglish
Title of host publicationICoMS 2024 - Proceedings of 2024 7th International Conference on Mathematics and Statistics
PublisherAssociation for Computing Machinery
Pages92-96
Number of pages5
ISBN (Electronic)9798400707223
DOIs
Publication statusPublished - 2 Dec 2024
Event7th International Conference on Mathematics and Statistics, ICoMS 2024 - Amarante, Portugal
Duration: 23 Jun 202325 Jun 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Mathematics and Statistics, ICoMS 2024
Country/TerritoryPortugal
CityAmarante
Period23/06/2325/06/23

Keywords

  • Partial Hypothesis Test
  • STWOLR
  • Simultaneous Hypothesis Test
  • Spatial
  • Temporal

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