%0 Journal Article %1 OLIVE200187 %A Olive, David J. %D 2001 %J Statistics & Probability Letters %K statistics %N 1 %P 87 - 92 %R https://doi.org/10.1016/S0167-7152(00)00148-6 %T High breakdown analogs of the trimmed mean %U http://www.sciencedirect.com/science/article/pii/S0167715200001486 %V 51 %X Two high breakdown estimators that are asymptotically equivalent to a sequence of trimmed means are introduced. They are easy to compute and their asymptotic variance is easier to estimate than the asymptotic variance of standard high breakdown estimators.

@article{OLIVE200187, abstract = {Two high breakdown estimators that are asymptotically equivalent to a sequence of trimmed means are introduced. They are easy to compute and their asymptotic variance is easier to estimate than the asymptotic variance of standard high breakdown estimators.}, added-at = {2018-03-04T05:36:51.000+0100}, author = {Olive, David J.}, biburl = {https://www.bibsonomy.org/bibtex/2ef868cc14df84986f299811bae4d871b/shabbychef}, description = {High breakdown analogs of the trimmed mean - ScienceDirect}, doi = {https://doi.org/10.1016/S0167-7152(00)00148-6}, interhash = {ea7d0a617700da90e59797d49e5a40a4}, intrahash = {ef868cc14df84986f299811bae4d871b}, issn = {0167-7152}, journal = {Statistics & Probability Letters}, keywords = {statistics}, number = 1, pages = {87 - 92}, timestamp = {2018-03-04T05:36:51.000+0100}, title = {High breakdown analogs of the trimmed mean}, url = {http://www.sciencedirect.com/science/article/pii/S0167715200001486}, volume = 51, year = 2001 }