Title: Test of Association in the Presence of Complex Environment.
Authors: Aslam, Muhammad; Arif, Osama H.
Abstract: A new test of independence under neutrosophic statistics for testing the association between two criteria of classification is presented in this paper. The necessary contingency tables for the neutrosophic population and the neutrosophic sample are presented. The test statistic of the proposed test is introduced under neutrosophic statistics. A real example from education is selected to explain the proposed test. From the real example, it is concluded that the proposed test of independence is more informative, flexible, and suitable to be applied under uncertainty as compared to the existing test under classical statistics.
Subjects: STATISTICAL association; CONTINGENCY tables
Publication: Complexity, 2020, p1
ISSN: 1076-2787
Publication type: Academic Journal
DOI: 10.1155/2020/2935435

Test of Association in the Presence of Complex Environment.

Aslam, Muhammad; Arif, Osama H.