CUMULATIVE ESTIMATION IN SEMI-PARAMETRIC MODELS (NON-PARAMETRIC ESTIMATOR BASE FOR A GENERAL WEIGHT FUNCTION)

Survey Review ◽  
2005 ◽  
Vol 38 (296) ◽  
pp. 158-164
Author(s):  
Hongchang HU ◽  
Haiyan SUN
Keyword(s):  
Weight Function ◽  
Parametric Models ◽  
General Weight ◽  
General Weight Function ◽  
Non Parametric

scholarly journals When the extension property does not hold

2017 ◽  
Vol 16 (05) ◽  
pp. 1750098
Author(s):  
Serhii Dyshko
Keyword(s):  
Weight Function ◽  
Linear Codes ◽  
Extension Theorem ◽  
Extension Property ◽  
Weight Composition ◽  
Complete Extension ◽  
General Weight ◽  
General Weight Function

A complete extension theorem for linear codes over a module alphabet, equipped with the symmetrized weight composition, is proven. It is also shown that the extension property with respect to a general weight function does not hold for module alphabets, that have a noncyclic socle.

A general weight function for inclined kinked edge cracks in a semi-plane

2010 ◽  
Vol 77 (11) ◽  
pp. 1631-1643 ◽  
Author(s):  
M. Beghini ◽  
M. Benedetti ◽  
V. Fontanari ◽  
B.D. Monelli
Keyword(s):  
Weight Function ◽  
General Weight ◽  
Edge Cracks ◽  
General Weight Function

A general weight function for inclined cracks at sharp V-notches

2007 ◽  
Vol 74 (4) ◽  
pp. 602-611 ◽  
Author(s):  
M. Beghini ◽  
L. Bertini ◽  
R. Di Lello ◽  
V. Fontanari
Keyword(s):  
Weight Function ◽  
General Weight ◽  
General Weight Function ◽  
Inclined Cracks

A Non Parametric Model for Magneto Rheological Dampers

1999 ◽  
Author(s):  
Mehdi Ahmadian ◽  
Xubin Song
Keyword(s):  
Test Data ◽  
Mr Damper ◽  
Parametric Model ◽  
Parametric Models ◽  
Magnetic Saturation ◽  
Mr Dampers ◽  
Electro Magnetic ◽  
Magneto Rheological ◽  
Force Characteristics ◽  
Non Parametric

Abstract A non-parametric model for magneto-rheological (MR) dampers is presented. After discussing the merits of parametric and non-parametric models for MR dampers, the test data for a MR damper is used to develop a non-parametric model. The results of the model are compared with the test data to illustrate the accuracy of the model. The comparison shows that the non-parametric model is able to accurately predict the damper force characteristics, including the damper non-linearity and electro-magnetic saturation. It is further shown that the parametric model can be numerically solved more efficiently than the parametric models.

Bayesian non-parametric models for regional prevalence estimation

2008 ◽  
Vol 35 (5) ◽  
pp. 567-582 ◽  
Author(s):  
Adam J. Branscum ◽  
Timothy E. Hanson ◽  
Ian A. Gardner
Keyword(s):  
Parametric Models ◽  
Prevalence Estimation ◽  
Non Parametric
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