%0 Journal Article %1 huber:1964 %A Huber, Peter J. %D 1964 %J Annals of Mathematical Statistics %K %N 1 %P 73--101 %R 10.1214/aoms/1177703732 %T Robust estimation of a location parameter %U http://dx.doi.org/10.1214/aoms/1177703732 %V 35 %X This paper contains a new approach toward a theory of robust estimation; it treats in detail the asymptotic theory of estimating a location parameter for contaminated normal distributions, and exhibits estimators--intermediaries between sample mean and sample median--that are asymptotically most robust (in a sense to be specified) among all translation invariant estimators.

@article{huber:1964, abstract = {This paper contains a new approach toward a theory of robust estimation; it treats in detail the asymptotic theory of estimating a location parameter for contaminated normal distributions, and exhibits estimators--intermediaries between sample mean and sample median--that are asymptotically most robust (in a sense to be specified) among all translation invariant estimators.}, added-at = {2012-09-01T13:08:21.000+0200}, author = {Huber, Peter J.}, biburl = {https://www.bibsonomy.org/bibtex/26f23927f8e9d8cf3a33c5ae9d7758767/nilsma}, doi = {10.1214/aoms/1177703732}, interhash = {b3b89c57d01fb443cb05ebac15b0592a}, intrahash = {6f23927f8e9d8cf3a33c5ae9d7758767}, issn = {0003-4851}, journal = {Annals of Mathematical Statistics}, keywords = {}, month = mar, number = 1, pages = {73--101}, timestamp = {2021-02-09T13:22:51.000+0100}, title = {Robust estimation of a location parameter}, url = {http://dx.doi.org/10.1214/aoms/1177703732}, volume = 35, year = 1964 }