Results 251 to 260 of about 21,325,393 (304)
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2022
This chapter proposes another alternative to fractional models for fractional behaviours modelling.
Wim P. Krijnen, Ernst C. Wit
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This chapter proposes another alternative to fractional models for fractional behaviours modelling.
Wim P. Krijnen, Ernst C. Wit
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1992
Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Donev
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Abstract Experimental designs for non-linear models depend on the values of the parameters, which will generally be unknown. In this section we first give four examples of non-linear models and then consider the general implications for design of this dependence on unknown values.
A C Atkinson, A N Donev
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Theoretical and Applied Genetics, 1982
A model, developed by Seyffert and Forkmann (1976), simulates quantitative characters by genes with biochemically definable action. This model, however, possesses a number of shortcomings which have been overcome by a modified model of the form: [Formula: see text] where [Formula: see text] is the score of the genotype [x1,...
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A model, developed by Seyffert and Forkmann (1976), simulates quantitative characters by genes with biochemically definable action. This model, however, possesses a number of shortcomings which have been overcome by a modified model of the form: [Formula: see text] where [Formula: see text] is the score of the genotype [x1,...
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2012
Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data.
Ton J. Cleophas, Aeilko H. Zwinderman
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Novel models for the assessment of non-linear data are being developed for the benefit of making better predictions from the data.
Ton J. Cleophas, Aeilko H. Zwinderman
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1997
In linear regression the mean surface is a plane in sample space; in non-linear regression it may be an arbitrary curved surface but in all other respects the models are the same. Fortunately the mean surface in most non-linear regression models met in practice will be approximately planar in the region of highest likelihood, allowing some good ...
W. N. Venables, B. D. Ripley
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In linear regression the mean surface is a plane in sample space; in non-linear regression it may be an arbitrary curved surface but in all other respects the models are the same. Fortunately the mean surface in most non-linear regression models met in practice will be approximately planar in the region of highest likelihood, allowing some good ...
W. N. Venables, B. D. Ripley
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2007
Abstract The experimental designs derived in the previous chapters for linear models do not depend on the values of the parameters β of the linear model. On the other hand, an important feature of designs for non-linear models is that they do depend on the values of the parameters.
A C Atkinson, A N Donev, R D Tobias
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Abstract The experimental designs derived in the previous chapters for linear models do not depend on the values of the parameters β of the linear model. On the other hand, an important feature of designs for non-linear models is that they do depend on the values of the parameters.
A C Atkinson, A N Donev, R D Tobias
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Fractional non-linear modelling of ultracapacitors
Communications in Nonlinear Science and Numerical Simulation, 2010Abstract In this paper, it is demonstrated that an ultracapacitor exhibits a non-linear behaviour in relation to the operating voltage. A set of fractional order linear systems resulting from a frequency analysis of the ultracapacitor at various operating points is first obtained.
Bertrand, Nicolas +3 more
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Comparison of non-linear MESFET models
9th International Conference on Electronics, Circuits and Systems, 2003The objective of this paper is to investigate the non-linear performance of some of the most widely used GaAs MESFET models. DC, AC and intermodulation (IMD) measurements were carried out on 300 /spl mu/m devices, and equivalent circuit parameters were extracted and optimized. Model predictions of IMD were investigated through several figures of merit:
Edin Sijercic, Branimir Pejcinovic
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Characterisation and modelling of non-linear loudspeakers
2014 14th International Workshop on Acoustic Signal Enhancement (IWAENC), 2014Approaches to non-linear acoustic echo cancellation for mobile devices all require a reliable, non-linear model of the loudspeaker. This paper investigates a recent approach to nonlinear system identification. The loudspeaker is characterised using specially-crafted test signals, in this case simple exponential sine-sweep inputs, which facilitate the ...
Leela K. Gudupudi +2 more
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Bayesian Models for Non‐linear Autoregressions
Journal of Time Series Analysis, 1997We discuss classes of Bayesian mixture models for nonlinear autoregressive times series, based on developments in semiparametric Bayesian density estimation in recent years. The development involves formal classes of multivariate discrete mixture distributions, providing flexibility in modeling arbitrary nonlinearities in time series structure and a ...
Müller, Peter +2 more
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