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Journal of Statistics and Management Systems Volume 20, 2017 - Issue 1
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Original Articles

Estimation of population variance using known coefficient of variation of an auxiliary variable in sample surveys

Housila P. SinghSchool of Studies in Statistics, Vikram University, Ujjain-456010, Madhya Pradesh, India
&
Surya K. PalSchool of Studies in Statistics, Vikram University, Ujjain-456010, Madhya Pradesh, IndiaCorrespondence[email protected]
Pages 91-111 | Received 01 Dec 2015, Published online: 24 Feb 2017

References

  • Das, A.K. (1988): Contributions to the theory of sampling strategies based on auxiliary information. Ph.D. thesis submitted to B.C.K.V., Mohanpur, Nadia, West Bengal, India.
  • Das, A.K. and Tripathi, T. P. (1978): Use of auxiliary information in estimating the finite population variance. Sankhya, 40, C, 139–148.
  • Das, A.K. and Tripathi, T. P. (1980): Sampling strategies for population mean when the coefficient of variation of an auxiliary character is known. Sankhya, 42, C, 76–86.
  • Isaki, C. T. (1983): Variance estimation using auxiliary information. Jour. Amer. Statist. Assoc., 78, 117–123. doi: 10.1080/01621459.1983.10477939
  • Kadilar, C. and Cingi, H. (2006): An improvement in estimating the population mean by using the correlation coefficient. Hacett. Jour. Math. Statist., 35(1), 103–109.
  • Murthy, M.N. (1967): Sampling Theory and Methods. Statistical Publishing Society, Calcutta, India.
  • Reddy, V.N. (1974): On a transformed ratio method of estimation. Sankhya, C, 36(1), 59–70.
  • Singh, H.P. and Solanki, R.S. (2013): A new procedure for variance estimation in simple random sampling using auxiliary information. Statistical Papers, 54(2), 479–497. doi: 10.1007/s00362-012-0445-2
  • Singh, H.P., Pal, S.K. and Solanki, R.S. (2014): A new procedure for estimation of finite population variance using auxiliary information. Jour. Reliab. Statist. Stud., 7(2), 149–160.
  • Singh, R., Chauhan, P., Sawan, N. and Smarandache, F. (2011): Improved exponential estimator for population variance using two auxiliary variables. Italian Jour. Pure Appl. Maths., 28, 101–108.
  • Srivastava, S.K. (1967): An estimator using auxiliary information in sample surveys. Cal. Statist. Assoc. Bull., 16, 62–63.
  • Upadhyaya, L.N. and Singh, H.P. (1999a): Use of transformed auxiliary variable in estimating the finite population mean. Biome. Jour., 41(5), 627–636.
  • Upadhyaya, L.N. and Singh, H.P. (1999b): An estimator of the population variance that utilizes the kurtosis of an auxiliary variable in sample surveys. Vikram Math. Jour., 19, 14–17.
  • Yadav, R., Upadhyaya, L.N., Singh, H.P. and Chatterjee, S. (2014): A class of estimators of population variance using auxiliary information in sample surveys. Commun. Statist. Theo. Method. 43(6), 1248–1260. doi: 10.1080/03610926.2012.670357
  • Yadav, S.K. and Kadilar, C. (2013): Improved exponential type ratio estimator of population variance. Rev.Colum.de Estadist., 36(1), 145–152.

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