Parametric Versus Non-parametric Models of Driving Behavior Signals for Driver Identification

2005 ◽  
pp. 739-747 ◽  
Author(s):  
Toshihiro Wakita ◽  
Koji Ozawa ◽  
Chiyomi Miyajima ◽  
Kazuya Takeda
Keyword(s):  
Driving Behavior ◽  
Parametric Models ◽  
Driver Identification ◽  
Non Parametric

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

Non-parametric lactation curves

1989 ◽  
Vol 48 (2) ◽  
pp. 331-339 ◽  
Author(s):  
D. A. Elston ◽  
C. A. Glasbey ◽  
D. R. Neilson
Keyword(s):  
Parametric Method ◽  
Parametric Models ◽  
Summary Statistics ◽  
Parametric Curves ◽  
Biased Estimation ◽  
Derivatives Of ◽  
Non Parametric

ABSTRACTLactation curves are fitted to data as a preliminary to estimating summary statistics. Two widely quoted curves are atbe-ct (Wood, 1967) and a(1 - e-bt) - ct (Cobby and Le Du, 1978), each of which has three parameters. Restriction to either of these curves imposes limitations on the fit to the data and can result in biased estimation of summary statistics. Alternatively, lactation curves can be generated by the use of a non-parametric method which requires only weak assumptions about the signs of derivatives of the curves. Because the non-parametric curves are more flexible, estimates of summary statistics are less likely to be biased than those based on parametric models. Use of the non-parametric curves is particularly advantageous around the time of peak yield, where the curves of Wood and Cobby and Le Du are known to fit data poorly.

Applying non-parametric models to explore urban life satisfaction in European cities

Cities ◽  
2020 ◽  
Vol 105 ◽  
pp. 102851
Author(s):  
Mehdi Moeinaddini ◽  
Zohreh Asadi-Shekari ◽  
Mahdi Aghaabbasi ◽  
Ismaïl Saadi ◽  
Muhammad Zaly Shah ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Urban Life ◽  
Parametric Models ◽  
European Cities ◽  
Non Parametric

Non-parametric models for joint probabilistic distributions of wind speed and direction data

2018 ◽  
Vol 126 ◽  
pp. 1032-1042 ◽  
Author(s):  
Qinkai Han ◽  
Zhuolin Hao ◽  
Tao Hu ◽  
Fulei Chu
Keyword(s):  
Wind Speed ◽  
Parametric Models ◽  
Non Parametric

Non‐parametric models in binary choice fixed effects panel data

2011 ◽  
Vol 14 (3) ◽  
pp. 351-367 ◽  
Author(s):  
Stefan Hoderlein ◽  
Enno Mammen ◽  
Kyusang Yu
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Parametric Models ◽  
Binary Choice ◽  
Non Parametric
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