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Cogent Mathematics & Statistics Volume 5, 2018 - Issue 1
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Research Article

An improved generalized class of estimators for population variance using auxiliary variables

Mr. Nitesh K. AdichwalDepartment of Statistics, Banaras Hindu University, Varanasi, Uttar Pradesh, India
,
Dr. Jitendra KumarDepartment of Statistics, Banaras Hindu University, Varanasi, Uttar Pradesh, India
&
Prof. Rajesh SinghDepartment of Statistics, Banaras Hindu University, Varanasi, Uttar Pradesh, IndiaCorrespondence[email protected]
View further author information
|
Guohua ZouChinese Academy of Sciences, China
(Reviewing Editor)
Article: 1454579 | Received 12 Jul 2017, Accepted 16 Mar 2018, Published online: 05 Apr 2018

References

  • Adichwal, N. K., Sharma, P., & Singh, R. (2015). Generalized class of estimators for population variance using information on two auxiliary variables. International Journal of Applied and Computational Mathematics, 1–11.
  • Ahmed, M. S., Raman, M. S., & Hossain, M. I. (2000). Some competitive estimators of finite population variance multivariate auxiliary information. Information and Management Sciences, 11(1), 49–54.
  • Asghar, A., Sanaullah, A., & Hanif, M. (2014). Generalized exponential- type estimator for population variance in survey sampling. Revista Colombiana de Estadística, 37(1), 211–222.
  • Gupta, S., & Shabbir, J. (2008). Variance estimation in simple random sampling using auxiliary information. Hacettepe Journal of Mathematics and Statistics, 37, 57–67.
  • Jhonson, M. E. (1987). Multivariate Statistical Simulation. New York, NY: John Wiley & Sons.
  • Murthy, M. N. (1967). Sampling theory and methods. Calcutta: Statistical Publishing Society.
  • Reddy, M. K., Rao, K. R., & Boiroju, N. K. (2010). Comparison of ratio estimators using Monte Carlo simulation. International Journal of Agriculture and Statistical Sciences, 6(2), 517–527.
  • Singh, H. P., & Solanki, R. S. (2013). A new procedure for variance estimation in simple random sampling using auxiliary information. Statistical Papers, 54(2), 479–497.10.1007/s00362-012-0445-2
  • Singh, H. P., & Solanki, R. S. (2009–2010). Estimation of finite population variance using auxiliary information in presence of random non-response. Gujarat Statistical Review, 36 & 37 (1 & 2), 46–58.
  • Singh, R., Chauhan, P., Sawan, N., & Smarandache, F. (2009). Improved exponential estimator for population variance using two auxiliary variables. Studies in Statistical Inference, Sample Techniques and Demography, 36–44.
  • Singh, S. (2003). Advanced sampling theory with applications: How Michael”“ Selected”“ Amy(Vol. 2). Springer Science & Business Media.10.1007/978-94-007-0789-4
  • Solanki, R. S., & Singh, H. P. (2013). An Improved class of estimators for the population variance. Model Assisted Statistics and Applications, 8(3), 229–238.
  • Yadav, S. K., & Kadilar, C. (2013). Improved exponential type ratio estimator of population variance. Revista Colombiana de Estadística, 36(1), 145–152.

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