Results 261 to 270 of about 21,325,393 (304)
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ACE: A non-linear regression model
Chemometrics and Intelligent Laboratory Systems, 1988Abstract Frank, I.E. and Lanteri, S., 1988. ACE: a non-linear regressional model. Chemometrics and Intelligent Laboratory Systems , 3: 301–313. A non-linear regression model is discussed and applied to various structure—activity relationship problems.
I. E. FRANK, LANTERI, SILVIA
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(Non) linear regression modeling [PDF]
, 2004 We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1,…,Yl), l ∈ N, which are explained by a model, and independent (exogenous, explanatory) variables X = (X1,…,Xp),p ∈ N, which explain or predict the dependent variables by means of the model. Such
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A non-linear circuit model of hysteresis
IEEE Transactions on Magnetics, 1999A nonlinear circuit model of hysteretic phenomena is presented. The model provides a close prediction of static hysteresis and exhibits realistic dynamic features. The parameters of the circuit model can be identified by a proper identification procedure, based on a representation theorem. Basic features are addressed and discussed.
CINCOTTI, SILVANO, I. DANERI
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Automatica, 1987
The paper deals with the problem to design a nonlinear time-varying state feedback law for a nonlinear time-varying plant such that the output dynamics match a given model. Existence conditions of such a controller are studied using the circle stability criterion and Lyapunov theory.
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The paper deals with the problem to design a nonlinear time-varying state feedback law for a nonlinear time-varying plant such that the output dynamics match a given model. Existence conditions of such a controller are studied using the circle stability criterion and Lyapunov theory.
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Astrophysics and Space Science, 1996
The article proposes an infinite partially ordered set \(I\) by axioms on its elements, called instants. \(I\) contains a linear continuum. The set \(I\) is called a model for time. The measurement in \(I\) is imposed by axioms on instants. The axioms of \(I\) are not based on the conception of ``events'', which is more fundamental than those of ...
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The article proposes an infinite partially ordered set \(I\) by axioms on its elements, called instants. \(I\) contains a linear continuum. The set \(I\) is called a model for time. The measurement in \(I\) is imposed by axioms on instants. The axioms of \(I\) are not based on the conception of ``events'', which is more fundamental than those of ...
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Validation of a non‐linear model of health
Journal of Evaluation in Clinical Practice, 2014AbstractPurposeThe purpose of this study was to evaluate the veracity of a theoretically derived model of health that describes a non‐linear trajectory of health from birth to death with available population data sets.MethodsThe distribution of mortality by age is directly related to health at that age, thus health approximates 1/mortality. The inverse
Topolski, Stefan, Sturmberg, Joachim
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A Non-Linear Model of Insulin Kinetics
1991A five compartment model including receptor-mediated insulin degradation is proposed to simulate insulin processing during hyperinsulinaemic euglycaemic clamps. Several physiological constraints were employed to limit the number of parameters which remained to be resolved from the experimental data.
Roman Hovorka +5 more
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Non-linear Modeling on a Pocket Calculator
2012Non-linear relationships in clinical research are often linear after logarithmic transformations. Odds ratios, log likelihood ratios, Markov models and many regression models are models that make use of it. An example with real data is given. We have to add that logarithmic transformation is not always successful, and that alternative methods are ...
Ton J. Cleophas, Aeilko H. Zwinderman
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A Non Linear Observer for a Fishery Model
IFAC Proceedings Volumes, 2008The aim of this paper is to apply some tools of observability theory to an age-structured model of a harvested fish population in order to estimate the stock state. We construct an observer that uses the data of caught fish and gives a dynamical estimation of the number of fish by stage.
Guiro, Aboudramane +3 more
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Non-linear Bayesian Image Modelling
2000In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or 'subspaces', of natural images. Examples include principal component analysis (as used for instance in 'eigen-faces'), independent component analysis, and auto-encoder neural networks.
Christopher M. Bishop, John M. Winn
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