This decision analysis study used a Markov model for estimation, and any modeling result is only as good as the ability of the model's structure to capture the essential aspects of the disease and treatment process.
In nonlinear models, a typical way to determine the interaction effect between variables is to linearize the model for estimation purpose, add an interaction term, and then use the estimate of the parameter of the interaction term to determine the presence (or absence) and the extent of the interaction effect.
The model is composed of four sub-models that comprise a mathematical as well as graphical three-dimensional representation of the upper extremity: a musculoskeletal model for estimation of muscle tendon lengths and moment arms, a Hill-based muscle force model, a model for estimating optimal muscle lengths, and a model for estimation of muscle activation from EMG signal of the biceps.
Bucholz, E. W. et al. Data-driven model for estimation of friction coefficient via informatics methods.
Yao, J. M., Manchester, R. N. & Wang, N. A new electron-density model for estimation of pulsar and FRB distances.
A regression-based model for estimation of hazard radii was developed based on the provided database.
Based on this projection, we identify a stochastic linear time-invariant model for estimation and control design.
Also a global/local model for estimation of Mode-II crack tip field in a delaminated thick composite beam is presented.
The focus of this study was to offer a model for estimation of the construction cost of tunnels for various applications in the preliminary stage of a project.
In this article, at first, a quantitative structure property relationship (QSPR) model for estimation of limiting diffusion coefficients of hydrocarbon liquids, DAB0, is developed.
The identification results demonstrate that the method is highly capable of providing an authentic model for estimation of Texh and HCraw emission during the coldstart period.
