Recursive prediction error methods for online estimation in nonlinear state-space models

The mathematical model that best described the N mineralization dynamics is that one proposed by Juma with AR(2) in soils sample without soil acidity correc- tion followed by

Three methods that verify the equality of parameters in nonlinear regression models were compared: (i) developed by Carvalho in 1996, performing ANOVA on estimates of parameters

(For example, the data files for this book were produced on Mac OS X but work on Windows and Linux.) You can save multiple objects to the same file by simply listing them in the

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Most epidemiological studies high- light the following as key factors for the development of mela- noma: intermittent UV exposure, sunbeds, blistering sun burns in childhood, fair

Given a discrete-time nonlinear stochastic system, as the presented in equation (1), the maximum likelihood estimation technique can be used to find the unknown parameters θ , of

As demonstrated in previous section through theoretical results, and corroborated with numerical simulations (see chapter 5), the Sub-D estimator provides unbiased estimates

From presented proposals it is expected the provisioning of new vectors for recursive fuzzy modelling and control, including a proof concept regarding Unscented Kalman