A Review on the Recent Development on the Cluster Sampling

Iqbal Jeelani M, Faizan Danish and Mansha Gul
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Iqbal Jeelani M: Department of Statistics and Computer Science, SKUAST-Jammu, Main campus, Chatha-180009 (J & K), India
Faizan Danish: Department of Statistics and Computer Science, SKUAST-Jammu, Main campus, Chatha-180009 (J & K), India
Mansha Gul: Department of Statistics and Computer Science, SKUAST-Jammu, Main campus, Chatha-180009 (J & K), India

Biostatistics and Biometrics Open Access Journal, 2018, vol. 5, issue 5, 146-150

Abstract: Precise testing is a standout amongst the most common sampling technique. The fame of the systematic sampling is fundamentally because of its common sense. Problems of systematic sampling occur more frequently than is generally realized and, since many of the techniques are still far from satisfactory, the situation offers great incentive to further development. A fair amount of research has been done in this area with the main focus being directed to handling the problems that arise when using the cluster sampling design in practice. The main theme of the recent research in this area is merging the multi-start idea with one of the schemes that assures a fixed sample size. Compared with simple random sampling, it is less demanding to draw a cluster sample uniquely when the choice of test units is done in the field.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:5:y:2018:i:5:p:146-150

DOI: 10.19080/BBOAJ.2018.05.555673

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