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COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING

Year 2005, Volume: 18 Issue: 3, 329 - 339, 13.08.2010

Abstract

ABSTRACT

Ranked set sampling is a cost efficient sampling technique when actually measuring sampling units is difficult but ranking them is relatively easy. The mean of the usual balanced ranked set sample is more efficient as an estimator of the population mean than the mean of a simple random sample. In this study, different ranked set sampling plans are considered for estimating of population mean. These estimators are theoretical compared in terms of relative efficiency under uniform, normal, exponential and weibull distribution.

References

  • Al-Saleh M.F., “On the totality of ranked set sampling”, Applied Mathematics and Computation, Inpress , (2003)
  • Arnold, B., Balakrishnan,N. and Nagaraja,H.N., “A First Course in Order Statistics”,John Wiley,New York. (1993)
  • Balakrishnan,N. and Cohen,C. “Order Statistics and Inference:Estimation Methods”, Academic Press ,San Diego. (1991)
  • David,H.A. “Order Statistics”, John Wiley, New York., (1970)
  • Dell,D.R. and Clutter, J.L. “ Ranked set sampling theory with order statistics background”.Biometrics, 28, 545-555, (1972).
  • McIntyre, G.A. “A method of unbiased selective sampling, using ranked sets.”Australian Journal of Agricaltural Research, 3, 385-390 (1952).
  • Patil,G.P.,Sinha, A.K. and Taillie,C. “ Ranked set sampling. A Handbook of Statistics, vol.12, pp 167-200, (1994).
  • Sinha B.K., Sinha B.K. and Purkayasta , S., “On some aspects of ranked set sampling for estimation of normal and exponential parameters.” Statistical Desicions, 14, 223-240, (1996).
  • Stokes, L.S. “Estimation of variance using judgement ordered ranked set samples” Biometrics, 36, 35-42, (1980).
  • Takahasi ,K. And Wakimoto, K. “On Unbiased estimates of the population mean based on the sample stratified by means of ordering” Annals of The Institude of Statistical Mathematics. 21,249-255 (1968).
Year 2005, Volume: 18 Issue: 3, 329 - 339, 13.08.2010

Abstract

Sıralı küme örneklemesi, örnekleme birimlerini ölçmek zor ancak bunları sıralamak daha kolay olduğu durumda maliyet etkili bir örnekleme tekniğidir. Yığın ortalamasının tahmin edicisi olarak, sıralı küme örneğinin ortalaması, basit tesadüfi örneğin ortalamasından daha etkindir. Bu çalışmada, yığın ortalamasının tahmini için farklı sıralı küme örneklemesi tasarımları incelenmiştir. Bu tahmin ediciler tekdüze, normal, üstel ve weibull dağılımları altında göreli etkinlikleri bakımından teorik olarak karşılaştırılmıştır

References

  • Al-Saleh M.F., “On the totality of ranked set sampling”, Applied Mathematics and Computation, Inpress , (2003)
  • Arnold, B., Balakrishnan,N. and Nagaraja,H.N., “A First Course in Order Statistics”,John Wiley,New York. (1993)
  • Balakrishnan,N. and Cohen,C. “Order Statistics and Inference:Estimation Methods”, Academic Press ,San Diego. (1991)
  • David,H.A. “Order Statistics”, John Wiley, New York., (1970)
  • Dell,D.R. and Clutter, J.L. “ Ranked set sampling theory with order statistics background”.Biometrics, 28, 545-555, (1972).
  • McIntyre, G.A. “A method of unbiased selective sampling, using ranked sets.”Australian Journal of Agricaltural Research, 3, 385-390 (1952).
  • Patil,G.P.,Sinha, A.K. and Taillie,C. “ Ranked set sampling. A Handbook of Statistics, vol.12, pp 167-200, (1994).
  • Sinha B.K., Sinha B.K. and Purkayasta , S., “On some aspects of ranked set sampling for estimation of normal and exponential parameters.” Statistical Desicions, 14, 223-240, (1996).
  • Stokes, L.S. “Estimation of variance using judgement ordered ranked set samples” Biometrics, 36, 35-42, (1980).
  • Takahasi ,K. And Wakimoto, K. “On Unbiased estimates of the population mean based on the sample stratified by means of ordering” Annals of The Institude of Statistical Mathematics. 21,249-255 (1968).
There are 10 citations in total.

Details

Primary Language English
Journal Section Statistics
Authors

Fikri Gökpınar

Yaprak Arzu Özdemir This is me

Alptekin Esin This is me

Publication Date August 13, 2010
Published in Issue Year 2005 Volume: 18 Issue: 3

Cite

APA Gökpınar, F., Özdemir, Y. A., & Esin, A. (2010). COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING. Gazi University Journal of Science, 18(3), 329-339.
AMA Gökpınar F, Özdemir YA, Esin A. COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING. Gazi University Journal of Science. August 2010;18(3):329-339.
Chicago Gökpınar, Fikri, Yaprak Arzu Özdemir, and Alptekin Esin. “COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING”. Gazi University Journal of Science 18, no. 3 (August 2010): 329-39.
EndNote Gökpınar F, Özdemir YA, Esin A (August 1, 2010) COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING. Gazi University Journal of Science 18 3 329–339.
IEEE F. Gökpınar, Y. A. Özdemir, and A. Esin, “COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING”, Gazi University Journal of Science, vol. 18, no. 3, pp. 329–339, 2010.
ISNAD Gökpınar, Fikri et al. “COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING”. Gazi University Journal of Science 18/3 (August 2010), 329-339.
JAMA Gökpınar F, Özdemir YA, Esin A. COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING. Gazi University Journal of Science. 2010;18:329–339.
MLA Gökpınar, Fikri et al. “COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING”. Gazi University Journal of Science, vol. 18, no. 3, 2010, pp. 329-3.
Vancouver Gökpınar F, Özdemir YA, Esin A. COMPARING THE EFFICIENCY OF THE ESTIMATORS FOR THE POPULATION MEAN UNDER DIFFERENT DESIGNS OF RANKED SET SAMPLING. Gazi University Journal of Science. 2010;18(3):329-3.