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A given supplier (i) offers discounts in N i intervals and a set of threshold quantities (A_{i}^{n}).
Moreover, online integration of (p_{bar {e}}(cdot)) is not necessary if the integrations over I i intervals are performed beforehand and (hat {s}^(n)) is quantized with M bits, leading to discrete probabilities (p_{bar {e}}(cdot)) [26].
Different evaluations of (varvec{C}_{i}) with the same output may exist, especially for (DFIG_{{{text{equ}}_1}}^). To reduce computation tasks, we further class (DFIG_{{{text{equ}}_i}}^) into m i groups according to their output, that is, the output of (DFIG_{{{text{equ}}_i}}^) is divided into m i intervals.
Furthermore, assume that there are i intervals of follow up.
Assuming for simplicity that the potential follow-up exceeds i intervals, w ij =0.
During the construction of L i at most k i intervals must be updated, corresponding to the number of reads that have an edge-label containing L i.
Similar(49)
The difference was significant for I III interval (P<0.01).
Let, I interval in, be such that (3.1).
In the initial boot of the data logger, for each analog channel input, some parameters are memorised as: (i) Interval between successive readings.
The maximum likelihood estimator for CL is derived and used to propose a hypothesis testing procedure under a lower specification limit based on the progressive type I interval censored sample.
We characterized each influenza/ILI interval of care by total cost and influenza/ILI-related cost.
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