Sentence examples for problem for the estimation from inspiring English sources

In this paper the optimal design problem for the estimation of the individual coefficients in a polynomial regression on an arbitrary interval [a,b] (−∞

During the detection process, the ML-optimum receiver solves a N H -hypothesis testing problem for the estimation of the index of the N a active antennas.

We propose a two-stage framework including 2D and 3D probabilistic graphical models which can solve the occlusion problem for the estimation of human joint positions.

In the common Fourier regression model we investigate the optimal design problem for the estimation of linear combinations of the coefficients, where the explanatory variable varies in the interval.

A problem for the estimation of the degree of market power is the lack of available data to estimate the elasticity of supply of the competitors firms required in the Landes and Posner (1981) method.

Note that small country sample sizes do not pose a problem for the estimation of the random effects hierarchical regression model chosen to test the study's hypotheses (see below for further discussion of the model choice).

Thus, this work eliminates the need to solve the iterative problem for the capacity estimation of four possible limit states (failure of concrete in tension and compression, and yielding of longitudinal web and boundary reinforcement).

Conversely, while the genetic parameters estimated from pond-reared fish may be less representative of those in the wild population (Roff, 1997, 2002), this approach does ensure that a sample will contain more relatedness structure, and (since parents and offspring are know to be sampled, almost completely) also provides a far more tractable problem for the pedigree estimation from molecular data.

Therefore, the rank detection is an essential problem for the SVD-based estimation.

Haematological cancers present particular problems for the accurate estimation of incidence through routine cancer registration systems.

The estimation of parameter values from biological time series data is not a trivial problem, and the estimation algorithms for nonlinear mixed-effects are computationally complex and often provide less accurate inference than for linear effects models.