Last but not least, the orosensory-based approximation provides a computational hypothesis for the separation of reinforcement and satiation effects.
While the chi square approximation provides a rough approximation, we recommend use of the permutation-based approach.
Further, the naive likelihood approximation provides a computationally efficient alternative.
Based on simulation evidence, the two-step maximum likelihood estimation provides a close approximation of the underlying construct, particularly in large samples where cell frequencies are high [ 18, 19].
Noteworthy, such Hill functions based model provides a simple yet adequate approximation of more complex response functions required to describe real promoters (see Supporting Information Section 3).
Surveys give an approximation of reality, and the most relevant question is whether that approximation provides reliable information to solve a particular problem.
The EMC model for focused light in the limit of the random scattering approximation thus provides a reliable prediction of the excitation field in turbid media based on macroscopic tissue scattering parameters.
We prove that this approximation method provides a lower bound.
In the current study, a novel proxy with the objective function that is based on volumetric pressure approximation provided by Fast Marching Method (FMM) is introduced.
It is clearly shown that our sparse CCA based on rank-1 matrix approximation provide the best results for all SNR range and all observation length.
Based on this approximation, we provide an analytical performance evaluation, in terms of bit error rate (BER) and channel capacity, of a VBLAST MIMO-OFDM system under a Rayleigh fading channel and memoryless nonlinear HPA model.
