Correlated Proportions Test under Indeterminacy
The existing Z-test for correlated proportions under classical statistics is applied when observations in the data are exact and precise. In the current paper, Z-test for correlated proportions is proposed to deal with the data having indeterminate observations. The statistic of Z-test for correlate...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2021/6564006 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832546087268777984 |
|---|---|
| author | Abdullah M. Almarashi Muhammad Aslam |
| author_facet | Abdullah M. Almarashi Muhammad Aslam |
| author_sort | Abdullah M. Almarashi |
| collection | DOAJ |
| description | The existing Z-test for correlated proportions under classical statistics is applied when observations in the data are exact and precise. In the current paper, Z-test for correlated proportions is proposed to deal with the data having indeterminate observations. The statistic of Z-test for correlated proportions under neutrosophy is introduced in the paper. The testing procedure of the proposed test is given. The application of the proposed test is given using the price of oil data. From the application, it is clear that the proposed test outperforms the existing Z-test for correlated proportions under classical statistics in terms of flexibility, adequacy, and information. The simulation study also shows the effect of indeterminacy on the statistic of the proposed test. |
| format | Article |
| id | doaj-art-c9789c1c7ff84cd282902d24b6c33e7d |
| institution | Kabale University |
| issn | 2314-4629 2314-4785 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-c9789c1c7ff84cd282902d24b6c33e7d2025-02-03T07:24:00ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/65640066564006Correlated Proportions Test under IndeterminacyAbdullah M. Almarashi0Muhammad Aslam1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaDepartment of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaThe existing Z-test for correlated proportions under classical statistics is applied when observations in the data are exact and precise. In the current paper, Z-test for correlated proportions is proposed to deal with the data having indeterminate observations. The statistic of Z-test for correlated proportions under neutrosophy is introduced in the paper. The testing procedure of the proposed test is given. The application of the proposed test is given using the price of oil data. From the application, it is clear that the proposed test outperforms the existing Z-test for correlated proportions under classical statistics in terms of flexibility, adequacy, and information. The simulation study also shows the effect of indeterminacy on the statistic of the proposed test.http://dx.doi.org/10.1155/2021/6564006 |
| spellingShingle | Abdullah M. Almarashi Muhammad Aslam Correlated Proportions Test under Indeterminacy Journal of Mathematics |
| title | Correlated Proportions Test under Indeterminacy |
| title_full | Correlated Proportions Test under Indeterminacy |
| title_fullStr | Correlated Proportions Test under Indeterminacy |
| title_full_unstemmed | Correlated Proportions Test under Indeterminacy |
| title_short | Correlated Proportions Test under Indeterminacy |
| title_sort | correlated proportions test under indeterminacy |
| url | http://dx.doi.org/10.1155/2021/6564006 |
| work_keys_str_mv | AT abdullahmalmarashi correlatedproportionstestunderindeterminacy AT muhammadaslam correlatedproportionstestunderindeterminacy |