Note on Robust Statistical Methods
dc.contributor.author | Mahesh, K. C. | |
dc.contributor.author | Laha, Arnab Kumar | |
dc.date.accessioned | 2010-09-02T11:02:59Z | |
dc.date.available | 2010-09-02T11:02:59Z | |
dc.date.copyright | 2006 | |
dc.date.issued | 2010-09-02T11:02:59Z | |
dc.identifier.uri | http://hdl.handle.net/11718/8344 | |
dc.description.abstract | In this note we introduce the notion of robustness which plays an important role in real life analysis of data. Two robust estimates of location, namely the trimmed mean and the M-estimation are discussed. The Influence Curve which plays an important role in studies of robustness is also introduced. | en |
dc.language.iso | en | en |
dc.subject | Influence Curve | en |
dc.subject | Robust estimator | en |
dc.subject | Trimmed mean | en |
dc.subject | M-estimator | en |
dc.title | Note on Robust Statistical Methods | en |
dc.type | Cases and Notes | en |
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Cases and Notes [2722]
Cases and Notes