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The definition of the proposed distribution along with some of its important distributional properties are presented in the Section 2. Reliability and stochastic ordering results are discussed in Section 3. In Section 4 we presented applications of the proposed distribution by considering three real life data sets.
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I'll start by considering three nagging questions. 1.
Consider two real values and with, then.
We evaluate the performance of our framework using real traffic traces from different network environments and by considering two main applications: TM estimation and Heavy Hitter (HH) detection.
We consider two real-world networks: Enron email network and DBLP network.
We are considering two factors, the real temperature and the apparent temperature displayed on the thermostat.
Consider three non-negative real sequences {a n }, {b n } and {c n }.
Let us consider two fixed real numbers (rgeq0) and (T>0).
We cast light on this possibility below by considering a real CSP that has been profiled using multiple replicates at two different levels of sensitivity.
In this section, two case studies were interpreted by considering real time fault event data.
Numerical simulation of the stochastic estimator is presented to justify the claim by considering the two examples of the real world system with an additive measurement noise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com