Radar Circular Data Analysis Using a New Watson’s Goodness of Test under Complexity | Zendy

Muhammad Aslam | Zendy; Muhammad Saleem | Zendy

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Radar Circular Data Analysis Using a New Watson’s Goodness of Test under Complexity

Author(s) -

Muhammad Aslam,

Muhammad Saleem

Publication year - 2021

Publication title -

journal of sensors

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.399

H-Index - 43

eISSN - 1687-7268

pISSN - 1687-725X

DOI - 10.1155/2021/7961306

Subject(s) - watson , test statistic , statistics , test (biology) , mathematics , statistic , indeterminacy (philosophy) , statistical hypothesis testing , computer science , econometrics , artificial intelligence , epistemology , philosophy , biology , paleontology

Watson’s test is applied to test either the given angular data follows the specified distribution or not. The existing Watson’s test under classical statistics is applied when there is no uncertainty and indeterminacy in sample size or angular data. Under indeterminacy, the existing Watson’s test cannot be applied for testing purposes. Neutrosophic statistics is an alternative to classical statistics for this kind of situation. The Watson’s test under neutrosophic statistics is proposed in this paper. The test statistic of Watson’s test is introduced first. The operational procedure of the proposed Watson’s test is discussed with the help of radar data. From the data analysis and simulation study, it is concluded the proposed Watson’s test is efficient than the existing Watson’s test.

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