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Parametric Estimation Algorithms

2004
The present chapter is devoted to the presentation and use of many algorithms used for parametric identification. Many of them are based on variants of least squares using gradient techniques. Various input sequences used for system excitation in view of model identification are detailed. Several examples of identification are given.
openaire   +1 more source

Parametric Estimation

2014
Suleyman Serdar Kozat, Andrew C. Singer
openaire   +1 more source

Importance sampling for parametric estimation

Proceedings of the 2010 Winter Simulation Conference, 2010
Xiaojin Tang, Pirooz Vakili
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Estimation, Parametric

2008
Shashi Shekhar, Hui Xiong
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Parametric models—The estimation problem

2008
Claudio Cobelli, Ewart Carson
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Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry

International Journal of Production Economics, 2004
Paolo Maccarrone   +2 more
exaly  

Parametric estimating for executives and estimators

Engineering Costs and Production Economics, 1983
openaire   +1 more source

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