Entropy | |
Propositions for Confidence Interval in Systematic Sampling on Real Line | |
Mehmet Niyazi Çankaya1  | |
[1] Department of Statistics, Faculty of Arts and Science, University of Uşak, Ankara-İzmir Karayolu 8.Km. 1.Eylül Kampüsü, UŞAK 64200, Turkey; | |
关键词: biomedical imaging; covariogram; design-based stereology; estimation of volume; systematic sampling; | |
DOI : 10.3390/e18100352 | |
来源: DOAJ |
【 摘 要 】
Systematic sampling is used as a method to get the quantitative results from tissues and radiological images. Systematic sampling on a real line ( R ) is a very attractive method within which biomedical imaging is consulted by practitioners. For the systematic sampling onR , the measurement function (M F) occurs by slicing the three-dimensional object equidistant systematically. The currently-used covariogram model in variance approximation is tested for the different measurement functions in a class to see the performance on the variance estimation of systematically-sampledR . An exact calculation method is proposed to calculate the constant λ ( q , N ) of the confidence interval in the systematic sampling. The exact value of constant λ ( q , N ) is examined for the different measurement functions, as well. As a result, it is observed from the simulation that the proposed M F should be used to check the performances of the variance approximation and the constant λ ( q , N ). Synthetic data can support the results of real data.
【 授权许可】
Unknown