Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah, 21551, Saudi Arabia.
Sci Rep. 2021 Sep 8;11(1):17806. doi: 10.1038/s41598-021-97344-x.
The existing F-test for two counts data from the Poisson distribution under classical statistics can be applied only when the counts in the data are exact or not intervals. The existing test cannot be applied when the count data is indeterminate, in the interval, and uncertain. In this paper, the F-test for two counts data from the Poisson distribution under classical statistics is designed. The test for two counts recording at the same time or different times is presented. The daily and the monthly number of records broken data in the U.S from the weather department is selected for the application of the proposed test. The application and comparison studies show the efficiency of the proposed test. The proposed test was found to be informative, flexible, and appropriate to be applied in an uncertain environment.
经典统计学中泊松分布的两个计数数据的现有 F 检验仅适用于数据中的计数是精确的或不是区间的情况。当计数数据不确定、在区间内和不确定时，现有检验不能应用。本文设计了经典统计学中泊松分布的两个计数数据的 F 检验。提出了同时或不同时记录两个计数的检验。选择美国气象部门的每日和每月记录破纪录数据来应用所提出的检验。应用和比较研究表明了该检验的有效性。研究发现，所提出的检验具有信息性、灵活性，并适用于不确定的环境。
