@article {10.3844/jmssp.2010.347.349,
article_type = {journal},
title = {Subsample Goal Model for Multihalver on Outliers},
author = {Onoghojobi, B.},
volume = {6},
year = {2010},
month = {Sep},
pages = {347-349},
doi = {10.3844/jmssp.2010.347.349},
url = {https://thescipub.com/abstract/jmssp.2010.347.349},
abstract = {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.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}