An introduction of additional risk into the business model; examples might include pre-purchasing and holding inventory or via investing in services related to the buyer/seller that are an incremental, variable cost before any profits have been realized (money goes out before it comes in).
Thus, the linearized equation reads2 biggl( frac{partial ( mathcal{D}^{-1} mathcal{M}(x_{k})x_{k+1} )}{partial x_{k+1}} biggr)_{x^ v_{k+1} = v_{k}, (25) where (x^) denotes the corresponding equilibrium point and (v_{k} = x_{k} - x^) is the incremental variable.
New auxiliary incremental displacement variables are defined and the non-linear frictional-contact problem is formulated to be a linear complementarity problem (LCP).
This paper presents the design of an incremental discrete variable structure controller, based on the minimization of the generalized minimum variance approach, to deal with multivariable plants and to handle different time delay of control loops between the input output pairs.
Whereas most adult born dentate granule cells that are 3-5 weeks of age belong to the R group (highly sensitive and variable input-output transformation), adult born dentate granule cells 9 weeks and older belong to the K group (incremental, non variable response to differing input strengths).
Summarized annual water balances can be calculated for any desired spatial domain (for example countries or river basins) and include, apart from the above mentioned variables, incremental evapotranspiration over open water and incremental evapotranspiration over wetlands.
A sequence of additional multinomial logistic regression models were fitted to assess the incremental value of variables found to be statistically significant in the final model.
Uncertainty was modeled using TreeAge Pro 2012 software [ 28], employing a decision tree with two branches (1: LIG + Other support programs; and 2: Other support programs alone) and three main variables: incremental cost per household of the LIG program, and outcomes among participant and comparator households.
Thus, it provides a probability distribution for the output variables, that is, incremental costs, incremental effectiveness, and incremental cost-effectiveness ratios.
A proportional odds model assumes that the relationship between each independent variable of interest and the ordinal outcome is similar across the incremental measures of outcome variables.
