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A Review on the Recent Development on the Cluster Sampling

Author

Listed:
  • 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)

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.

Suggested Citation

  • Iqbal Jeelani M & Faizan Danish & Mansha Gul, 2018. "A Review on the Recent Development on the Cluster Sampling," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(5), pages 146-150, March.
    • Handle: RePEc:adp:jbboaj:v:5:y:2018:i:5:p:146-150
    DOI: 10.19080/BBOAJ.2018.05.555673
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    References listed on IDEAS

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    1. R. M. Fewster, 2011. "Variance Estimation for Systematic Designs in Spatial Surveys," Biometrics, The International Biometric Society, vol. 67(4), pages 1518-1531, December.
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