Analysis of neutrosophic multiple regression
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 t...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
NSS
2021
|
| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/2814/1/J12662_a0ae57fe5bd7b7ef887834cbf1c70db9.pdf http://eprints.uthm.edu.my/2814/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| id |
my.uthm.eprints.2814 |
|---|---|
| record_format |
eprints |
| spelling |
my.uthm.eprints.28142021-11-02T04:21:16Z http://eprints.uthm.edu.my/2814/ Analysis of neutrosophic multiple regression Nagarajan, D. Broumi, S. Smarandache, F. Kavikumar, J. HA29-32 Theory and method of social science statistics 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 NSS 2021 Article PeerReviewed text en http://eprints.uthm.edu.my/2814/1/J12662_a0ae57fe5bd7b7ef887834cbf1c70db9.pdf 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. |
| institution |
Universiti Tun Hussein Onn Malaysia |
| building |
UTHM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Tun Hussein Onn Malaysia |
| content_source |
UTHM Institutional Repository |
| url_provider |
http://eprints.uthm.edu.my/ |
| language |
English |
| topic |
HA29-32 Theory and method of social science statistics |
| spellingShingle |
HA29-32 Theory and method of social science statistics Nagarajan, D. Broumi, S. Smarandache, F. Kavikumar, J. Analysis of neutrosophic multiple regression |
| description |
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 |
| format |
Article |
| author |
Nagarajan, D. Broumi, S. Smarandache, F. Kavikumar, J. |
| author_facet |
Nagarajan, D. Broumi, S. Smarandache, F. Kavikumar, J. |
| author_sort |
Nagarajan, D. |
| title |
Analysis of neutrosophic multiple regression |
| title_short |
Analysis of neutrosophic multiple regression |
| title_full |
Analysis of neutrosophic multiple regression |
| title_fullStr |
Analysis of neutrosophic multiple regression |
| title_full_unstemmed |
Analysis of neutrosophic multiple regression |
| title_sort |
analysis of neutrosophic multiple regression |
| publisher |
NSS |
| publishDate |
2021 |
| url |
http://eprints.uthm.edu.my/2814/1/J12662_a0ae57fe5bd7b7ef887834cbf1c70db9.pdf http://eprints.uthm.edu.my/2814/ |
| _version_ |
1738581041331830784 |
| score |
13.251813 |