Sentence examples for distribution in the context of from inspiring English sources

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To overcome this problem, Hochrainer (2007) proposed a formulation for a continuous FR source distribution in the context of the higher-dimensional CDD.

Our proposed method constructs a new mixture for HTR distribution in the context of ultrasound image applications in which its mixture ratio contains both a characteristic exponent and a dispersion of the HTR distribution, α and γ.

Lastly, the clinical significance of the observed variability in FMISO intratumour distribution in the context of patient stratification for hypoxia-targeting therapies, monitoring treatment response, efficacy of biologically conformal radiotherapy, or radiomics warrants further examination in larger datasets.

By assessing plant community distribution in the context of the different landform units and geomorphic processes, represented in detailed geomorphological maps, a sequence of landform vegetation units was identified.

Another useful way of viewing the intricate relationships within the hypergeometric distribution in the context of acceptance sampling is in light of the receiver operating characteristics (ROC) curve, a standard tool in the area of data mining and other computationally intense procedures (Provost and Fawcett 2013, chap. 8).

This refers to collaboratively created pictures, narrations, videos, etc. Technology-mediated communication data refers to the data generated in two-way communication, collaborative knowledge creation and information distribution in the context of digital environment the content and subjects of the communication.

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Similar(47)

F. See Embrechts et al. [1] for a nice review of subexponential distributions in the context of insurance and finance.

The theoretical distributions, in the context of potential flow, have the same expression when re-scaled in terms of coordinates involving quantities at specific points.

Gulec et al. simulated dose distributions in the context of liver tissue microanatomy and showed different mean absorbed doses to different tissue structures [18].

Outcome measures are correlations between quantitatively described components and external factors as well as their distributions in the context of dichotomic influencing factors.

Nonetheless, Marazzi et al. [ 37] and Ruffieux et al. [ 38] showed that the log-normal distribution is superior to other closed-form distributions in the context of LoS modeling.

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