Correlated Proportions Test under Indeterminacy

Abdullah M. Almarashi, Muhammad Aslam and Georgios Psarrakos

Journal of Mathematics, 2021, vol. 2021, 1-5

Abstract: 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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/jmath/2021/6564006.pdf (application/pdf)
http://downloads.hindawi.com/journals/jmath/2021/6564006.xml (application/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:6564006

DOI: 10.1155/2021/6564006

Access Statistics for this article

More articles in Journal of Mathematics from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().