Abstract Hierarchical probability models are being used more often than non-hierarchical deterministic process in environmental prediction and forecasting, Bayesian approaches to fitting such becoming increasingly popular. In particular, describing ecosystem dynamics with multiple states that autoregressive at each step time can be treated as statistical state space (SSMs). this paper, we exami...

The problem of derivation and calculation of sensitivity functions for all parameters of the mass balance reduced model of the COST benchmark activated sludge plant is formulated and solved. The sensitivity functions, equations and augmented sensitivity state space models are derived for the cases of ASM1 and UCT reduced biological models. Matlab software for sensitivity function calculation an...

The relationship between distribution coverage and market share for an incumbent brand and for new entrants in the ready-to-drink iced tea market during its growth phase is explored using state space diagrams. This graphical visualization method was originally developed to disentangle lead–lag relationships between short nonstationary time series, a situation in which standard econometric metho...

In this paper a new model-based optimizing controller for a set of nonlinear systems is proposed. The nonlinear model set is based on a convex combination of two bounding linear models. An optimal control sequence is computed for each of the two bounding models. The proposed control algorithm is based on a convex combination of the two control sequences. A novel feature in these two optimizatio...

6 [1] A new approach for developing multimodel streamflow forecasts is presented. The 7 methodology combines streamflow forecasts from individual models by evaluating 8 their skill, represented by rank probability score (RPS), contingent on the predictor state. 9 Using average RPS estimated over the chosen neighbors in the predictor state space, 10 the methodology assigns higher weights for a m...

introduction: a study model is a precise three dimensional replica of patient’s dentition and plays an important role in treatment planning. many digital multi-media applications have become available to the clinician and his or her staff to facilitate standard procedures in practice and management. the aim of this study is to evaluate reliability and validity of dental measurement made on digi...

abstract in this study we have used the monthly data resulted from the calculation of temperature and precipitation for a 52-year period (1951-2003). the doubling effect of carbon dioxide ( ) on temperature and precipitation was modeled as the most important climatic parameters. the resulting hythergraph and ambrothermic models for tabriz indicate monthly increases of temperature and precipitat...

Complexity of existing mathematical models inhibits the analysis and the automatic animation of human and animal motion. Current techniques rely on numerical simulations of highly nonlinear differential equations in highdimensional spaces. A motion with such large-scale dynamics is difficult to control because of the sheer size of its control space. We are developing a method for constructing s...