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Neutrosophic statistical test for counts in climatology
1Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia. aslam_ravian@hotmail.com.
Scientific Reports
|September 9, 2021
Summary
A new F-test for Poisson count data handles interval and uncertain data, unlike traditional methods. This statistical test is effective for real-world applications, offering flexibility in uncertain environments.
Area of Science:
- Statistics
- Data Analysis
Background:
- Classical F-tests for Poisson data require exact counts.
- Existing methods are unsuitable for indeterminate, interval, or uncertain count data.
Purpose of the Study:
- To design an F-test for two counts data from the Poisson distribution applicable to uncertain data.
- To present a test for count data recorded simultaneously or at different times.
Main Methods:
- Development of a novel F-test for interval and uncertain Poisson count data.
- Application of the proposed test to daily and monthly broken record data from the U.S. weather department.
Main Results:
- The proposed F-test effectively handles count data that is indeterminate or in interval form.
- Application studies demonstrated the efficiency and appropriateness of the new test.
Conclusions:
- The developed F-test is informative, flexible, and suitable for statistical analysis in uncertain environments.
- This new method expands the applicability of F-tests to a wider range of count data scenarios.
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