نتایج جستجو برای: huber

تعداد نتایج: 1865  

2005
Martina Huber Daniel Elenius

Journal: :Zootaxa 2015
John T Huber

The 400+ nominal species of the worldwide genus Gonatocerus Nees are reclassified into 14 genera that are placed in Gonatocerini, which is defined by three putative autapomorphies. A key to the 13 extant genera of Gonatocerini is given, based on females. Five previously described genus-group taxa are recognized: Cosmocomoidea Howard stat. rev. (= ater group, of authors), Gahanopsis Ogloblin sta...

2013
Shlomo S. Sawilowsky

A measure of location relative efficiency for location of a single sample. The question o f how much to trim or which weighting constant to use are practical considerations in applying robust methods such as trimmed means (L-estimators) and Huber statistics (M-estimators). An index o f location relative effi­ ciency (LRE), which is a ratio of the narrowness o f resulting confidence intervals, w...

2011
John T. Huber Dale Greenwalt

Compression fossils of three genera and six species of Mymaridae (Hymenoptera: Chalcidoidea) are described from 46 million year old Kishenehn oil shales in Montana, USA. Two new genera are described: Eoeustochus Huber, gen. n., with two included species, Eoeustochus kishenehn Huber (type species) and Eoeustochus borchersi Huber, sp. n., and Eoanaphes, gen. n., with Eoanaphes stethynioides Huber...

Journal: :Revista de Neuro-Psiquiatria 2013

Journal: :International Review of the Red Cross 1961

2000
Rosa Capobianco

The aim of the paper is to study the robustness features of the generalized normal distribution. To this end the properties of maximum likelihood estimators of the location and scale parameters are investigated and compared with those of the Huber proposal II estimator and with those of the estimators of the Student t distribution.

Journal: :Journal of the American Statistical Association 2019

Journal: :Soft Comput. 2005
Shitong Wang Jiagang Zhu Korris Fu-Lai Chung Lin Qing Dewen Hu

With the evidence framework, the regularized linear regression model can be explained as the corresponding MAP problem in this paper, and the general dependency relationships that the optimal parameters in this model with noisy input should follow is then derived. The support vector regression machines Huber-SVR and Norm-r r-SVR are two typical examples of thismodel and their optimal parameter ...

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