Sentence examples for evaluation of probabilities from inspiring English sources
There are some alternative procedures, available in the reliability theory, which allow the evaluation of probabilities of structural failure.
Another application of expected utility theory, discussed in (Greaves 2013) is the evaluation of probabilities themselves where these probabilities are understood as individual degrees of belief.
The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
It is based on the evaluation of probabilities of every single split in the tree starting from the root (i.e. the entire dataset is one cluster).
Most of the research papers in the area of Reliability are concerned with the evaluation of probability of failures for various limit states or calculation of safety index.
The direct method and Monte Carlo simulation were adopted for the evaluation of probability of failure and reliability indexes.
Applying this function allows to study the contours of mass concentration of a probability distribution independently from the tail behavior of the distribution, and often leads to a numerical stabilization of the evaluation of probability integrals.
The similarity of damage probability can be presented by the evaluation of probability of failure in two major cities of Tehran and Tabriz in Iran, which are near the earthquake faults and located in a very high seismic zone.
The pseudo clauses with the first person I and the mental processes of cognition (e.g., think, believe, know, trust) were extensively used, suggesting that the writer is explicitly responsible for the evaluation of probability (Fairclough 2003).
The evaluation of probability of death from burn injuries would provide clinicians with an explicit basis for clinical decisions, help them understand the relative contributions of specific prognostic criteria and reduce reliance on clinical intuition [ 1].
Our major contribution includes: (1) Exploiting Hidden Markov Model (HMM) model to learn node behaviors for the evaluation of attacking probabilities and node states; (2) Effective relay node selection based the estimation of node capability.
