Advanced search
Publication Cover
Communications in Statistics - Simulation and Computation Volume 52, 2023 - Issue 10
Submit an article Journal homepage
95
Views
2
CrossRef citations to date
0
Altmetric
Articles

New regression-type compromised imputation class of estimators with known parameters of auxiliary variable

Ahmed Audua Department of Mathematics, Usmanu Danfodiyo University, Sokoto, NigeriaCorrespondence[email protected]
,
Rajesh Singhb Department of Statistics, Banaras Hindu University, Varanasi, India
&
Supriya Khareb Department of Statistics, Banaras Hindu University, Varanasi, India
Pages 4789-4801 | Received 05 Nov 2019, Accepted 15 Aug 2021, Published online: 25 Aug 2021

References

  • Al-Omari, A. I., C. N. Bouza, and C. Herrera. 2013. Imputation methods of missing data for estimating the population mean using simple random sampling with known correlation coefficient. Quality & Quantity 47 (1):353–65. doi: 10.1007/s11135-011-9522-1.
  • Bhushan, S., and A. P. Pandey. 2016. Optimal imputation of missing data for estimation of population mean. Journal of Statistics and Management Systems 19 (6):755–69. doi: 10.1080/09720510.2016.1220099.
  • Cochran, W. G. 1977. Sampling techniques. 3rd ed. New York: John Wiley and Sons.
  • Diana, G., and P. F. Perri. 2010. Improved estimators of the population mean for missing data. Communications in Statistics - Theory and Methods 39 (18):3245–51. doi: 10.1080/03610920903009400.
  • Gira, A. A. 2015. Estimation of population mean with a new imputation methods. Applied Mathematical Sciences 9 (34):1663–72. doi: 10.12988/ams.2015.5293.
  • Kadilar, C., and H. Cingi. 2004. Ratio estimators in simple random sampling. Applied Mathematics and Computation 151:893–902. doi:10.1016/S0096-3003(03)00803-8
  • Kadilar, C., and H. Cingi. 2008. Estimators for the population mean in the case of missing data. Communications in Statistics - Theory and Methods 37 (14):2226–36. doi: 10.1080/03610920701855020.
  • Mishra, P., P. Singh, and R. Singh. 2017. A generalized class of estimators for estimating population mean using imputation technique. Journal of reliability and statistical studies 10 (2):33–41.
  • Murthy, M. N. 1967. Sampling theory and methods. Calcutta, India: Statistical Publishing Society.
  • Prasad, S. 2018. A study on new methods of ratio exponential type imputation in sample surveys. Hacettepe Journal of Mathematics and Statistics 47 (5):1281–301. doi: 10.15672/HJMS.2016.392.
  • Sarndal, C. E., B. Swensson, and J. H. Wretman. 1992. Model assisted survey sampling. New York: Springer-Verlag.
  • Singh, S. 2009. A new method of imputation in survey sampling. Statistics 43 (5):499–511. doi: 10.1080/02331880802605114.
  • Singh, S., and B. Deo. 2003. Imputation by power transformation. Statistical Papers 44 (4):555–79. doi: 10.1007/BF02926010.
  • Singh, B. K., and U. Gogoi. 2018. Estimation of Population mean using ratio-cum-product imputation techniques in sample survey. Research & Reviews: Journal of Statistics 7:38–49.
  • Singh, S., and S. Horn. 2000. Compromised imputation in survey sampling. Metrika 51 (3):267–76. doi: 10.1007/s001840000054.
  • Singh, G. N., S. Maurya, M. Khetan, and C. Kadilar. 2016. Some imputation methods for missing data in sample surveys. Hacettepe Journal of Mathematics and Statistics 45 (6):1865–80.
  • Singh, G. N., K. Priyanka, J. M. Kim, and S. Singh. 2010. Estimation of population mean using imputation techniques in sample surveys. Journal of the Korean Statistical Society 39 (1):67–74. doi: 10.1016/j.jkss.2009.04.002.
  • Singh, A. K., P. Singh, and V. K. Singh. 2014. Exponential-Type Compromised Imputation in Survey Sampling. Journal of Statistics Applications & Probability 3 (2):211–7. doi: 10.12785/jsap/030211.
  • Toutenburg, H., V. K. Srivastava, and A. Shalabh. 2008. Imputation versus imputation of missing values through ratio method in sample surveys. Statistical Papers 49:237–47. doi: 10.1007/s00362-006-0009-4.
  • Wang, L., and Q. Wang. 2006. Empirical likelihood for parametric model under imputation for missing data. Journal of Statistics and Management Systems 9 (1):1–13. doi: 10.1080/09720510.2006.10701189.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.