Inferring the underlying multivariate structure from bivariate networks with highly correlated nodes
Complex systems are often described mathematically as networks. Inferring the actual interactions from observed dynamics of the nodes of the networks is a challenging inverse task. It is crucial to ...
Our study focusses on investigating a modern modelling paradigm, a bivariate stochastic process, that allows us to link individual tree variables with growth and yield stand attributes. In this paper, ...
where is the critical value of an F variate with degrees of freedom 2 and n-2. A confidence ellipse for prediction is a confidence region for predicting a new observation in the population. It also ...
where is the critical value of an F variate with degrees of freedom 2 and n-2. A confidence ellipse for prediction is a confidence region for predicting a new observation in the population. It also ...
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