Propositions for Confidence Interval in Systematic Sampling on Real Line

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 on R , the measuremen...

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Main Author: Mehmet Niyazi Çankaya
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/10/352
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author Mehmet Niyazi Çankaya
author_facet Mehmet Niyazi Çankaya
author_sort Mehmet Niyazi Çankaya
collection DOAJ
description 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 on R , 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-sampled R . 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.
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spelling doaj.art-bea18e7488964449b5c545b8acf6d9d02022-12-22T04:03:47ZengMDPI AGEntropy1099-43002016-09-01181035210.3390/e18100352e18100352Propositions for Confidence Interval in Systematic Sampling on Real LineMehmet Niyazi Çankaya0Department of Statistics, Faculty of Arts and Science, University of Uşak, Ankara-İzmir Karayolu 8.Km. 1.Eylül Kampüsü, UŞAK 64200, TurkeySystematic 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 on R , 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-sampled R . 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.http://www.mdpi.com/1099-4300/18/10/352biomedical imagingcovariogramdesign-based stereologyestimation of volumesystematic sampling
spellingShingle Mehmet Niyazi Çankaya
Propositions for Confidence Interval in Systematic Sampling on Real Line
Entropy
biomedical imaging
covariogram
design-based stereology
estimation of volume
systematic sampling
title Propositions for Confidence Interval in Systematic Sampling on Real Line
title_full Propositions for Confidence Interval in Systematic Sampling on Real Line
title_fullStr Propositions for Confidence Interval in Systematic Sampling on Real Line
title_full_unstemmed Propositions for Confidence Interval in Systematic Sampling on Real Line
title_short Propositions for Confidence Interval in Systematic Sampling on Real Line
title_sort propositions for confidence interval in systematic sampling on real line
topic biomedical imaging
covariogram
design-based stereology
estimation of volume
systematic sampling
url http://www.mdpi.com/1099-4300/18/10/352
work_keys_str_mv AT mehmetniyazicankaya propositionsforconfidenceintervalinsystematicsamplingonrealline