Response surfaces are usually much too complex to be able to easily model the entire surface with a single function, so a simple model (one that is linear in the factor levels) is used to find the local slope (the slope in a specified area) of the surface and point the direction to the maximum (minimum) response.
To compute the relative risk (RR), we fitted Poisson models, in which the log Poisson rate was linear in the factors, by the maximum likelihood method (Preston et al, 1995).
Finally, we briefly summarize the basic notation used in this paper: Let (mathcal {H}), (mathfrak {H}) be separable complex Hilbert spaces, ((cdot,cdot )_{mathcal {H}}) the scalar product in (mathcal {H}) (linear in the second factor), and (I_{mathcal {H}}) the identity operator in (mathcal {H}).
Thus, -means is linear in all relevant factors: iterations, number of clusters, number of vectors and dimensionality of the space.
If either (1) the polynomial x n −1 splits into a product of linear factors in K[x](in particular, if K contains a primitive nth root of unity), or (2) V is absolutely irreducible, . the polynomial x n −1 splits into a product of linear factors in K[x](in particular, if K contains a primitive nth root of unity), or.
This approach assures to be obtained a minimal linear friction factor in each section.
Note that each tanh function in this system can include a term, called factor, to model genes that regulate other genes but are not regulated by others in the network, and in this sense it extends the linear dynamic factor model in [ 3].
Evidence of non-linear associations was investigated using cubic splines, with non-linearity represented by piece wise linear factors in final models.[11] All analyses were performed using Stata statistical software (release 11, StataCorp, USA).
It is well-known that multiple-input multiple-output (MIMO) systems can provide an increase in the system capacity by a factor linear in the minimum number of the antennas used at either the transmitter or the receiver [1, 2].
Weights of variables in its linear combination (factor score values), as indicators of variables involvement in a factor, reflect the partial variable variances in the factor variance.
