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2011 | 12 | 2 | 309-330

Article title

Estimation of Quadratic Finite Population Functions Using Calibration

Content

Title variants

Languages of publication

EN

Abstracts

EN
Since the quadratic finite population functions can be expressed as totals over a synthetic population consisting of some ordered pairs of elements of the initial population, the traditional and penalized calibration technique is used to derive some calibrated estimators of the quadratic finite population functions. A linear combination of estimators discussed is considered as well. A comparison of approximate variances of the calibrated estimators is also presented. A simulation study is performed to analyze the empirical properties of the calibrated estimators of the finite population variance and covariance which appear as special cases of the quadratic functions. It is shown also how the calibrated estimators of the population covariance (variance) can be applied in regression estimation of the finite population total.

Year

Volume

12

Issue

2

Pages

309-330

Physical description

Contributors

  • Lithuanian University of Educational Sciences
  • Vilnius University

References

  • Deville, J.C. and Särndal, C. E., 1992. Calibration estimators in survey sampling. Journal of the American Statistical Association, 87, pp.376–382.
  • Farrell, P. and Singh, S., 2002. Penalized chi square distance function in survey sampling. ASA Proceedings, pp.963–968.
  • Guggemos, F. and Tillé, Y., 2010. Penalized calibration in survey sampling: Design-based estimation assisted by mixed models. Journal of Statistical Planning and Inference, 140, pp.3199–3212.
  • Plikusas, A. and Pumputis, D., 2007. Calibrated estimators of the population covariance. Acta Applicandae Mathematicae, 97, pp.177–187.
  • Plikusas, A. and Pumputis, D., 2010. Estimation of the finite population covariance using calibration. Nonlinear Analysis: Modelling and Control, 15(3), pp.325–340.
  • Särndal, C.E., 2007. The calibration approach in survey theory and practice. Survey Methodology, 33(2), pp.99–119.
  • Särndal, C.E. Swensson, B. and Wretman, J., 1992. Model Assisted Survey Sampling. New York: Springer-Verlag.
  • Singh, S., 2003. On Farrell and Singh's penalized chi square distance functions in survey sampling. SCC Proceedings, pp.173–178.
  • Singh, S. Horn, S. Chowdhury, S. and Yu, F., 1999. Calibration of the estimators of variance. Austral. & New Zealand J. Statist., 41(2), pp.199–212.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-8f60b6fc-2f49-4105-9981-787cd8a20c50
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