TY  - JOUR
AU  - Onoghojobi, B. 
PY  - 2010
TI  - Subsample Goal Model for Multihalver on Outliers
JF  - Journal of Mathematics and Statistics
VL  - 6
IS  - 3
DO  - 10.3844/jmssp.2010.347.349
UR  - https://thescipub.com/abstract/jmssp.2010.347.349
AB  - Problem statement: In this study, a delete-half jackknife problem reformulated as a subsample multihalver was presented. Approach: In this respect, exploiting outlier nomination and estimation, since considering all possible half-sample is unpractical and unfeasible were considered. Results: We derived subsample algorithm which is unbiased multihalver and the performance of the model in formulating the subsample multihalver was shown. Conclusion: The result of subsample multihalver method of nomination and estimation is better way of resolving large population.