Twenty exponential type estimators with imputation have been suggested to overcome the problem of missing data for a study variable in sample surveys. It has been shown that the suggested estimators are more efficient than the mean method of imputation, ratio method of imputation, regression method of imputation and the estimators are given by Singh and Horn (2000), Singh and Deo (2003), Singh (2009), Gira (2015) and Singh et al. (2016). The biases and their mean square errors of the suggested estimators are derived. Simulation studies are also demonstrated for comparing the performances of the suggested estimators.
AhmedM. S.AL-TitiO.AL-RawiZ., & Abu-DayyehW. (2006). Estimation of a population mean using different imputation methods. Statistics in Transition, 7(6), 1247-1264.
2.
CochranW. G. (1977). Sampling Techniques, 3rd edn, Wiley and Sons.
3.
DianaG. & PerriP. F. (2010). Improved estimators of the population mean for misssing data. Communications in Statistics – Theory and Methods, 39, 3245-3251.
4.
GiraA. A. (2015). Estimation of population mean with a new imputation methods. Applied Mathematical Sciences, 9(34), 1663-1672.
5.
HeitzanD. F., & BasuS. (1996). Distinguishing ‘missing at random’ and ‘missing completely at random’. The American Statistician, 50, 207-213.
6.
KadilarC., & CingiH. (2008). Estimators for the population mean in the case of missing data. Communications in Statistics- Theory and Methods, 37, 2226-2236.
7.
KaltonG.KasprzykD., & SantosR. (1981). Issues of non-response and imputation of income and program participation. Currents Topics in Survey Sampling (KrevoskiD.PlatekR., & RaoJ. N. K., eds), Acad. Press, New York, 455-480.
8.
KoyuncuN., & KadilarC. (2009). Efficient Estimators for the Population mean. Hacettepe Journal of Mathematics and Statistics, 38(2), 217-225.
9.
LohrS. L. (1999). Sampling: Design and Analysis. Duxbury Press, Kentuncky.
10.
PrasadS. (2016). A note on imputing auxiliary variable for missing values in sample surveys. 2nd Research Summit on CEEE2016, NIT AP, ISBN: 978-93-85777-69-1.
11.
RubinR. B. (1987). Multiple imputation for non-response in surveys. John Wiley, New York.
12.
SandeI. G. (1979). A personal view of hot-deck imputation procedures. Survey Methodology, Statistics Canada, 238-247.
13.
SinghG. N.MauryaS. KhetanM., & KadilarC. (2016). Some imputation methods for missing data in sample surveys. Hacettepe Journal of Mathematics and Statistics, 45(6), 1865-1880.
14.
SinghG. N.PriyankaK.KimJ.M., & SinghS. (2010). Estimation of population mean using imputation techniques in sample surveys. Journal of Korean Statistical Society, 39(1), 67-74.
15.
SinghS., & DeoB. (2003). Imputation by power tranformation. Statistical Papers, 44, 555-579.
SinghS. (2009). A new method of imputation in survey sampling. Statistics, 43, 499-511.
18.
ToutenburgH., & SrivastavaV. K. (2008). Amputation versus imputation of missing values through ratio method in sample surveys. Statistical Papers, 49, 237-247.
