Analysis of neutrosophic multiple regression

Nagarajan, D. and Broumi, S. and Smarandache, F. and Kavikumar, J. (2021) Analysis of neutrosophic multiple regression. Neutrosophic Sets and Systems, 43. pp. 44-53.

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The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact between the dependent and independent variables. The Neutrosophic regression equation is useful to predict the future value of the dependent variable. This paper to predict the students' performance in campus interviews is based on aptitude and personality tests, which measures conscientiousness, and predict the future trend. Neutrosophic multiple regression is to authenticate the claim and examine the null hypothesis using the F-test. This study exhibits that Neutrosophic multiple regression is the most efficient model for uncertainty rather than the classical regression models

Item Type: Article
Uncontrolled Keywords: Neutrosophic multiple regression; neutrosophic regression; neutrosophic correlation
Subjects: H Social Sciences > HA Statistics > HA29-32 Theory and method of social science statistics
Divisions: Faculty of Applied Science and Technology > Department of Mathematics and Statistics
Depositing User: Mr. Abdul Rahim Mat Radzuan
Date Deposited: 02 Nov 2021 04:21
Last Modified: 02 Nov 2021 04:21

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