This article deals with some new imputation methods by extending the work of Bhushan and Pandey using multi-auxiliary information. The popularly used imputation like mean imputation, ratio method of imputation, regression method of imputation and power transformation method are special cases of the proposed methods apart from being less efficient than the proposed methods. The proposed imputation methods can be considered as an efficient extension to the work of Singh and Deo (Stat Pap 44:555–579, 2003), Singh (Stat A J Theor Appl Stat 43(5):499–511, 2009), Ahmed et al. (Stat Transit 7(6):1247–1264, 2006), Diana and Perri (Commun Stat Theory Methods 39:3245–3251, 2010) and Bhushan and Pandey (J Stat Manag Syst 19(6):755–769, 2016, Commun Stat Theory Methods 47(11):2576–2589, 2018). The theoretical results are derived and comparative study is conducted using real and simulated data and the results are found to be quite encouraging providing the improvement over the all discuss work.

本文通过使用多种辅助信息扩展Bhushan和Pandey的工作，探讨了一些新的估算方法。普遍使用的归因法，例如均值归因法，归因法比率法，归因法归因法和幂变换法是本方法的特例，但效率不如所提出的方法。提议的插补方法可以视为对Singh和Deo（Stat Pap 44：555-579，2003），Singh（Stat AJ Theor Appl Stat 43（5）：499-511，2009）的工作的有效扩展。等。（Stat Transit 7（6）：1247-1264，2006），Diana and Perri（Comm Stat Stat Theory Methods 39：3245-3251，2010）和Bhushan and Pandey（J Stat Manag Syst 19（6）：755-769，2016） ，《公共统计理论方法》 47（11）：2576-2589，2018年）。