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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2018 / Cilt: 47 - Sayı: 1

An e cient new class of estimators of population variance using information on auxiliary attribute in sample surveys

Housila P. SİNGH
Surya K. PAL
Sayfa
267–277
Yayın Tarihi
2022-10-18
DOI
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The theoretical ndings are well supported through an empirical study.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This paper addresses the problem of estimating the population variance S 2 y of the study variate Y when information on an auxiliary attribute is available.
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Temel Bulgular & Veri:We have suggested a new class of estimators for the population variance S 2 y using information on an auxiliary attribute.
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Sonuç & Katkı:The theoretical ndings are well supported through an empirical study.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

This paper addresses the problem of estimating the population variance S 2 y of the study variate Y when information on an auxiliary attribute is available. We have suggested a new class of estimators for the population variance S 2 y using information on an auxiliary attribute. It has been shown that the proposed class of estimators is more ecient than those estimators considered by [16], [19] and [23]. The theoretical ndings are well supported through an empirical study.

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Bu Makaleye Atıf Yap

SİNGH, H. P., PAL, S. K. (2022). An e cient new class of estimators of population variance using information on auxiliary attribute in sample surveys. Hacettepe Journal of Mathematics and Statistics, Cilt: 47 - Sayı: 1, 267–277. https://ajindex.com/articles/530177

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Kaynakça (13)

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  3. Sukhatme P.V. and Sukhatme B.V. (1970): Sampling theory of surveys with applications. Iowa State University Press,
  4. Ames. Singh, R., Chauhan, P., Swain, N. and Smarandache, F. (2008):Ratio estimators in simple random sampling using information on attribute. Pak. Jour. Statist. Opera. Res., 4(1), 47-53.
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  7. Singh, H.P. and Solanki, R.S. (2012): Improved estimation of population mean in simple random sampling using information on auxiliary attribute. Appl. Math. Comp., 218, 7798- 7812. Singh, R. and Kumar, M. (2011): A family of estimators of population variance using information on auxiliary attribute. Studies in Sampling Techniques and Time Series Analysis. Zip Publish., 63-70.
  8. Sharma, P., Verma, V. K. and Singh, R. (2015): An e cient class of estimators using two auxiliary attribute. Chilean Jour. Statist., 6(2), 59-68.
  9. Sharma, P., Verma, H., Sanaullah, A. and Singh, R. (2013a): A study of some exponential ratio-product type estimators using information on auxiliary attributes under second order approximation. Inter. Jour. Statist. Eco., 12(3), 58-66.
  10. Sharma, P., Singh, R. and Kim, J. M. (2013b): Study of some improved ratio-type estimators using information on auxiliary attributes under second order approximation. Jour. Sci. Res., 57, 138-146.
  11. Sharma, P. and Singh, R. (2014):Improved ratio type estimators using two auxiliary variables under second order approximation. Math. Jour. Inter. Sci., 2(2), 193-214.
  12. Sharma, P. and Singh, R. (2013): E cient estimators of population mean in strati ed random sampling using auxiliary attribute. World Appl. Sci. Jour., 27(12), 1786-1791.
  13. Shabbir, J. and Gupta, S. (2007): On improvement in variance estimation using auxiliary information. Commun. Statist. Theo. Meth., 36(12), 2177 -2185. Naik, V.D. and Gupta, P.C. (1996): A note on estimation of mean with known populati