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MSEs of existing and proposed estimators for Population I
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In statistical estimation processes, accurate estimation of parameters is crucial. Incorporating valid auxiliary information can improve estimators by considering correlated variables. This study focused on binary type estimators for predicting population mean under SRSWOR in scenarios with non-response. The Mean Square Error (MSE) and Bias charact...
Contexts in source publication
Context 1
... this section, the performance of members of the proposed estimator and other estimators, considered in section 2, has been evaluated numerically by taking two real population data sets. The two population data sets are as follows; We have computed the mean squared errors (MSEs) of the proposed estimators at different values of Φ and, different existing estimators considered in this study, and the results are displayed in Tables 2 and 3. ...Context 2
... results presented in Table 2, compare the proposed estimator with existing estimators, revealing that the proposed estimator exhibits superior efficiency. Notably, it outperforms the Hansen and Hurwitz (1946) Estimator, Rao (1986) ratio and product estimators, and Singh and Kumar (2008) ratio and product type estimators. ...