Non-linear Estimation Methods for Aircraft Dynamic Parameters during Taxiing

2018 ◽  
Author(s):  
Thibault Marduel
Keyword(s):  
Estimation Methods ◽  
Dynamic Parameters ◽  
Linear Estimation ◽  
Non Linear

scholarly journals Autoregressive Models of the Random fields—A Survey

2020 ◽  
pp. 1-9
Keyword(s):  
Random Fields ◽  
Linear Models ◽  
Estimation Methods ◽  
Suitable Model ◽  
Main Mode ◽  
One Dimensional ◽  
Non Linear ◽  
The Status ◽  
Ar Models ◽  
Shed Light

Autoregressive (AR) random fields are widely use to describe changes in the status of real-physical objects and implemented for analyzing linear & non-linear models. AR models are Markov processes with a higher order dependence for one-dimensional time series. Actually, various estimation methods were used in order to evaluate the autoregression parameters. Although in many applications background knowledge can often shed light on the search for a suitable model, but other applications lack this knowledge and often require the type of trial errors to choose a model. This article presents a brief survey of the literatures related to the linear and non-linear autoregression models, including several extensions of the main mode models and the models developed. The use of autoregression to describe such system requires that they be of sufficiently high orders which leads to increase the computational costs.

scholarly journals Non linear estimation of returns on hedge funds with scarce observations

2021 ◽  
Author(s):  
Akram Samarikhalaj
Keyword(s):  
Hedge Funds ◽  
Linear Estimation ◽  
Non Linear

Non linear estimation of returns on hedge funds with scarce observations

scholarly journals MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes

2010 ◽  
Vol 4 ◽  
Author(s):  
Sergey M. Plis ◽  
Vince D. Calhoun ◽  
Michael P. Weisend ◽  
Tom Eichele ◽  
Terran Lane
Keyword(s):  
Bold Signal ◽  
Linear Estimation ◽  
Non Linear ◽  
Signal Changes
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