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Here, by considering minimalist mathematical models, which recapitulate scaffold effects seen in more mechanistically detailed models, we obtain analytical and numerical results that provide insights into scaffold function.
After endogenizing these corporate functions in simultaneous equations models, we obtain results that suggest "good" environmental performance is significantly associated with "good" economic performance, and also with more extensive quantifiable environmental disclosures of specific pollution measures and occurrences.
From both, the basic logistic and the matched models, we obtain odds ratios for explanatory variables, which estimate the so called relative risk; i.e. increase in the damage risk by a particular factor.
We use stylized economic models to represent the implementation in practice and solving our models we obtain closed form and numerical solutions that help us to see the impact of various parameters on the optimal decisions of a producer.
We start by considering finite dimensional Markovian dynamics in Rm generated by operators of hypocoercive type and for such models we obtain short and long time pointwise estimates for all the derivatives, of any order and in any direction, along the semigroup.
For both models, we obtain the queue length distribution at batch arrival epochs and that at an arbitrary time instant, the loss probability of a whole batch or an arbitrary customer in a batch, server setup rate, server utilization ratio, and the LST of the waiting time distribution.
Similar(51)
For some classes of SV dependent friction models we obtained analytical formulas for calculating the DOP.
By applying these models we obtained AGB changes in alternative ways.
By hybridization of two groups of nonlinear models, we obtained STAR-ST-GARCH models that allow for STAR type nonlinearity in both the conditional mean and variance.
Combining these two models, we obtained the network model based on the entire data set.
For the final three models, we obtained parameter values from the best fitting model in [ 9].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com