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Subject = Estimation theory;
4 items found
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Displaying Results 1 - 4 of 4 on page 1 of 1
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Scaling conditional tail probability and quantile estimators
(2010)
Cotter, John
Scaling conditional tail probability and quantile estimators
(2010)
Cotter, John
Abstract:
Not applicable
http://hdl.handle.net/10197/2595
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System identification and paramenter estimation of a motorcycle suspension system
(1995)
Ledwidge, Jim
System identification and paramenter estimation of a motorcycle suspension system
(1995)
Ledwidge, Jim
Abstract:
The use o f modem estimation theory to track the time-varying dynamics of a motorcycle suspension system is investigated. It is shown using software simulations and a test rig comprised of an analogue computer that a modified recursive least squares algorithm which incorporates a fault detection scheme is a suitable approach. The fault detection scheme incorporated in the modified algorithm detects system changes by monitoring the statistical properties of the estimators prediction error sequence. A mass, spring and damper model is chosen as a simple model with which to represent the dynamics of the suspension system. Initial estimates of the suspension parameters are found from static tests performed on a sample "Formula 1" front suspension unit. These estimates are incorporated into a software simulation and this simulation is used as a platform to examine the performance o f existing parameter estimation techniques and also to develop the modified least squares algori...
http://doras.dcu.ie/18957/
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Use your powers wisely: resource allocation in parallel channels
(2006)
Pearlmutter, Barak A.; Jaramillo, Santiago
Use your powers wisely: resource allocation in parallel channels
(2006)
Pearlmutter, Barak A.; Jaramillo, Santiago
Abstract:
This study evaluates various resource allocation strategies for simultaneous estimation of two independent signals from noisy observations. We focus on strategies that make use of the underlying dynamics of each signal, exploiting the difference in estimation uncertainty between them. This evaluation is done empirically, by exploring the parameter space through computer simulations. Two cases are studied: one in which an initial allocation is maintained during estimation of the variables, and one in which allocation can be dynamically changed at each time step according to the uncertainty of the estimate from each channel. The results suggest that there are conditions in which it is advantageous to assign a high signal-to-noise ratio (SNR) to only one of the signals and guess the other one. Furthermore, comparison between the two allocation strategies shows that the dynamic strategy significantly improves estimation performance in low SNR scenarios when the signals have similar dyna...
http://mural.maynoothuniversity.ie/1361/
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When do Probit residuals sum to zero?
(2010)
Conniffe, Denis
When do Probit residuals sum to zero?
(2010)
Conniffe, Denis
Abstract:
Probit residuals need not sum to zero in general. However, if explanatory variables are qualitative the sum can be shown to be zero for many models. Indeed this remains true for binary dependent variable models other than Probit and Logit. Even if some explanatory variables are quantitative, residuals can sum to almost zero more often than might at first seem plausible.
http://hdl.handle.net/2262/58724
Displaying Results 1 - 4 of 4 on page 1 of 1
Bibtex
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Institution
Dublin City University (1)
Maynooth University (1)
Trinity College Dublin (1)
University College Dublin (1)
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Conference item (1)
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Peer Review Status
Peer-reviewed (1)
Unknown (3)
Year
2010 (2)
2006 (1)
1995 (1)
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