Exact(10)
Specifically, we derive models for the expectation, variance and probability distribution of information propagation distance.
At last, we derived the statistical properties of the expectation, variance, and PDF.
We obtain an expectation, variance and indeterminacy (E V I) functional which is a generalization of the expectation quadratic utility.
Since there is no historical data on the expectation, variance, and covariance of demands in each period, the proposed model is tested in a deterministic environment by comparing with previous approaches as benchmark.
In this paper, in addition to the aforementioned assumptions, time value of money and dependency of product demands are also considered so that the expectation, variance and covariance of demands are randomly changed from period to period.
If the daily SOC distribution differences of the same day among these weeks are all maintained within a certain range, including expectation, variance and proportion of each sub-interval, it is determined that the SOC distributions of the PrEV cluster have tended to stabilize.
Similar(50)
Kroner et al. [24] forecasted prices of gold, corn, cotton etc. with expectation-variance model.
The expectation-variance method also performed well in terms of earliness of detection.
The expectation-variance model usually outperformed traditional approaches in terms of sensitivity.
A model for the alarm threshold would then be constructed in a similar manner to the expectation-variance model.
The expectation-variance model also had earlier detection than these models at 85percentt specificity (data not shown).
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