Exponential - Type Compromised Imputation in Survey Sampling

Regression-type Imputation Class of Estimators using Auxiliary Attributes

“…[11] 3  , Ahmed et al [25] 4  , Singh [15] 5  , Singh et al [18] 6  and Singh and Gogoi [26] 7  when auxiliary character is qualitative and their MSEs are given below;…”

“…However, when the study variables are characterized by non-response, the aforementioned estimators are not applicable. Authors like Singh and Horn [10], Singh and Deo [11], Wang and Wang [12], Toutenburg et al [13], Kadilar and Cingi [14], Singh [15], Diana and Perri [16], Al-Omari et al [17], Singh et al [18], Gira (2015), Singh et al [19], Bhushan and Pandey [20], Prasad [21], Audu et al [22][23][24], have studied different schemes and estimators in the presence of non-response. Situations arise when the auxiliary characters are qualitative in nature e.g.…”

On The Efficiency of Almost Unbiased Mean Imputation When Population Mean of Auxiliary Variable is UnknownOn The Efficiency of Almost Unbiased Mean Imputation When Population Mean of Auxiliary Variable is Unknown

“…Singh et al, [36] proposed Exponential-Type Compromised Imputation scheme to minimize the effect of distance between X and r x on the efficiency of Ahmed et al [27] as…”

“…conducted by human are often characterized by non-response. Hansen and Hurwitz [24] first discussed the issue of non-response and imputation methods to deal with nonresponse issues were suggested by several scholars like Singh and Horn [25], Singh and Deo [26], Ahmed et al [27], Wang and Wang [28], Kadilar and Cingi [29], Toutenburg et al [30], Singh (2009), Diana and Perri [31], Al-Omari et al [32], Singh et al [33], Mishra et al [34], Singh and Gogoi [35], Singh et al [36], Prasad [37], Audu et al [38][39][40][41], Shahzad et al [42] and Audu and Singh [43] are some of the most recent imputation methods. However, some of the estimators of the schemes proposed by aforementioned authors are functions of population mean of auxiliary variable ( X ) and if X is unknown, the schemes can not be applied to real life situations and are biased.…”

Exponential-Ratio-Type Imputation Class of Estimators using Nonconventional Robust Measures of Dispersions

“…Several authors also proposed imputation methods to deal with nonresponse or missing values. Recent among them include Singh and Deo [2], Toutenburg et al [3] Kadilar and Cingi [4], Singh [5], Singh and Horn [6], Gira [7], Audu and Singh [8] Kadilar and Cingi [9] Bhushan and Bandey [10], Singh et al [11], Diana and Perri [12] Al-Omari et al [13], Audu et al [14][15][16][17][18], Singh et al [19]. However, some of the estimators in aforementioned literatures depend on known parameters of the auxiliary variable which are influenced by outliers.…”