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To overcome the issue, used neutrosophic logic to introduce neutrosophic statistics. The classical statistics cannot be applied when vague, uncertain, and indeterminate observations are presented in the data. The applications of neutrosophic can be seen. The efficiency of neutrosophic over fuzzy logic and interval-based analysis can be read in. introduced neutrosophic logic as a generalization of fuzzy logic. presented various tests using the fuzzy approach. The fuzzy-based tests are quite flexible and widely applied under the uncertain environment in a variety of fields. The presence of uncertainty and indeterminacy in the sample size, parameters, and the observations lead to apply the fuzzy-based tests for testing purpose. contributed in designing statistical tests for circular data. mentioned, “Circular data need special treatment in data analysis: consider that an angle of 355° is much nearer to an angle of 5° than it is to an angle of 330°, and so simple arithmetic mean for example can be quite misleading.” The circular tests are applied for testing the randomness of circular data. In practice, the data obtained from metrology, space, radars, and ecology are circular observations that are measured in radian or degree. Usually, the statistical tests are applied to the data obtained from the linear scale. worked on the goodness of fit tests with applications using various types of data sets. These tests are performed using cumulative distribution function or probability density function of the theoretical distribution. If our assumption is wrong, then the results obtained may invalid.” Therefore, the goodness of fit tests is performed for testing either the data follows the specified theoretical distribution or not. suggested, “when we assume that our data follows a specific distribution, we take a serious risk.
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For efficient prediction and estimation, the decision-makers are interested to investigate which statistical distribution is suitable for the data.
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The data obtained from devices or systems follows any statistical distribution. From the data analysis and simulation study, it is concluded the proposed Watson’s test is efficient than the existing Watson’s test. The operational procedure of the proposed Watson’s test is discussed with the help of radar data. The test statistic of Watson’s test is introduced first. The Watson’s test under neutrosophic statistics is proposed in this paper. Neutrosophic statistics is an alternative to classical statistics for this kind of situation. Under indeterminacy, the existing Watson’s test cannot be applied for testing purposes. The existing Watson’s test under classical statistics is applied when there is no uncertainty and indeterminacy in sample size or angular data. Australian National University Library.Watson’s test is applied to test either the given angular data follows the specified distribution or not. To include a comma in your tag, surround the tag with double quotes. Like the ancient ones, the They are like spirit animals coming out of forest.
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Go to previous Content Download this Content Share this Content Add This Content to Favorites Go to next Content. Circular Statistics in Biology by Edward Batschelet,, available at Book Depository with free delivery worldwide.