A series of seasonally varying linear Markov models are constructed in a reduced multivariate empirical orthogonal function (MEOF) space of observed sea surface temperature, surface wind stress, and sea level analysis. The Markov models are trained in the 1980–95 period and are verified in the 1964–79 period. It is found that the Markov models that include seasonality fit to the data better in ...

Many behavioral and pharmacologic treatments for which there is strong empirical support are rarely used in clinical practice in the treatment of substance dependence. In an effort to facilitate greater emphasis on issues such as utility, practicality, and cost earlier in the evaluation of promising therapies, the authors propose a hybrid model to link efficacy and effectiveness research. A hyb...

The canonical inflation specification in sticky-price rational expectations models (the new-Keynesian Phillips curve) is often criticized on the grounds that it fails to account for the dependence of inflation on its own lags. In response, many recent studies have employed a “hybrid” sticky-price specification in which inflation depends on a weighted average of lagged and expected future values...

Hydrogeological disasters occur frequently. Proposing an effective prediction method for hydrology data can play a guiding role in disaster prevention; however, due to the complexity and instability of hydrological data, this is difficult. This paper proposes a new hybrid forecasting model based on ensemble empirical mode decomposition (EEMD), radial basis function neural networks (RBFN), and s...

in the present study, a model of a large lithium polymer (li-po) battery for use in the simulation of hybrid electric vehicles (hevs) is developed. to attain this goal, an equivalent circuit (ec) consisting of a series resistor and two rc parallel networks is considered. the accuracy and the response time of the model for use in an hev simulator are studied. the battery parameters identificatio...