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model-based parameters estimation

Estimation of Parameters for Model Matching using Genetic Algorithms

Estimation of Parameters for Model Matching using Genetic Algorithms

... Genetic Algorithms are search algorithms based on the mechanics of natural selection and natural genetics. They combine survival of the fittest among string structures with a structured yet random- ized ...

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Estimation of parameters in a structured SIR model

Estimation of parameters in a structured SIR model

... The parameters involved in an epidemiological process are not always ...the parameters of Markov [, ], or directly from the solution of the ...the estimation approach is based in the ...

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Joint Angle-Delay Estimation Based on Smoothed Maximum-Likelihood Algorithm

Joint Angle-Delay Estimation Based on Smoothed Maximum-Likelihood Algorithm

... delay estimation is developed to identify the specular components of channel fading for uniform linear array based on the physical propagation channel ...the estimation procedure in order to utilize ...

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Robust estimation of hydrological model parameters

Robust estimation of hydrological model parameters

... The estimation of hydrological model parameters is a challenging ...The parameters of fitted hydrological models depend upon the input ...hydrological model. To see the effect of ...

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Evaluation of Cuckoo Search Usage for Model Parameters Estimation

Evaluation of Cuckoo Search Usage for Model Parameters Estimation

... parameter estimation problem for nonlinear systems is inves- ...parameter estimation techniques which basically depend on lin- earizing the system in order to apply available algorithms for linear systems, ...

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Delay time analysis in maintenance

Delay time analysis in maintenance

... A system model is assumed and the objectively based estimation of the delay time modelling parameters undertaken using the observed times of breakdowns and the number of defects detected[r] ...

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Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China

Parameter uncertainty and identifiability of a conceptual semi-distributed model to simulate hydrological processes in a small headwater catchment in Northwest China

... of parameters and structural uncertainties in conceptual rainfall-runoff modeling prove to be a difficult ...rainfall-runoff model, HBV-light, with emphasis on parameter identifiability, uncertainty, and ...

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Internal Migration and Regional Population Dynamics in Europe: France Case Study

Internal Migration and Regional Population Dynamics in Europe: France Case Study

... The parameters of Courgeau’s model for the estimation of migrations from the migrant count for France The socio-economic classification of French communes based on the 1990 Census Annual[r] ...

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Fuzzy Estimation Analysis of Photovoltaic Model Parameters

Fuzzy Estimation Analysis of Photovoltaic Model Parameters

... the model equivalent circuit parameters. The parameters considered in the study are the series resistance, shunt resistance, photo current, saturation current, and diode ideality ...Parameter ...

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Bayesian estimation of parameters in a regional hydrological model

Bayesian estimation of parameters in a regional hydrological model

... and model uncertainty is represented. The use of a statistical model for the simulation errors to represent the uncertainties in the model structure has some drawbacks, particularly because it does ...

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Assessing Software Quality with Time Domain Pareto Type II using SPC

Assessing Software Quality with Time Domain Pareto Type II using SPC

... models based on order statistics with Non- Homogeneous Poisson Process ...linear estimation, study of system reliability, life testing, survival analysis, data compression and many ...II model with ...

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Model based kinetic parameters estimation in batch Pullulan fermentation using Jaggery as substrate

Model based kinetic parameters estimation in batch Pullulan fermentation using Jaggery as substrate

... developed model, it is necessary to study the cell growth as function of time ...related parameters was done using 50, 75 and 100 g/L of jaggery and sucrose in batch fermentation for about 172 ...

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Distributions of Maximum Likelihood Estimators and Model Comparisons

Distributions of Maximum Likelihood Estimators and Model Comparisons

... statistical model. Inferences about the parameters from sample data can be based on descrip- tors of this ...the model that is assumed for ...the estimation model is one of a ...

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Optimal experimental design for predator–prey functional response experiments

Optimal experimental design for predator–prey functional response experiments

... allow model parameters to be estimated with maximum efficiency and precision, potentially reducing the number of experimental runs ...efficient estimation of model parameters in ...

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Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning

Updating of travel behavior parameters and estimation of vehicle trip-chain data based on plate scanning

... method based on the maximum-likelihood technique for updating travel behavior models parameters and estimation of vehicle trip chain by using sensor-to-sensor travel time of each sensor path ...

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... supply. Based on the results of the estimation parameters in the estimation model rupiah per US dollar (ER), and through testing simultaneously, the results showed that the factor ...

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Linear model for fast background subtraction in oligonucleotide microarrays

Linear model for fast background subtraction in oligonucleotide microarrays

... These insights are useful for the selection of probes for the optimization set in Eq. (3): includes all MM probes whose intensities are below a certain threshold I 0 and whose corresponding PM intensities also fulfill ...

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Bayes estimation for the parameters of the Weibull-Geometric distribution based on progressive first failure censored data

Bayes estimation for the parameters of the Weibull-Geometric distribution based on progressive first failure censored data

... theoretically. Based on Pro- gressive First-Failure Censoring Scheme, the different estimators are computed and compared numerically for different combinations of n, m, k and random censoring scheme ...unknown ...

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A Comparative Study for Estimation Parameters in Panel Data Model

A Comparative Study for Estimation Parameters in Panel Data Model

... general estimation method for fixed, RCR, and Mixed RCR ...several estimation methods for the panel data models when the regression coefficients are ...

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Statistical treatment of looking time data

Statistical treatment of looking time data

... This model assumed that LT differences were coming from two normal distributions having the same variance, but different means: one had a positive mean, which was unknown and thus had to be estimated from the ...

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