Sentence examples for probability amount from inspiring English sources

First, citation and usage statistics such as Citation Probability (number of one journal's citations over total citations), Usage Probability (amount of one journal's usage over total usage), the JIF, the Scimago Cites per Doc, and a Usage Impact Factor (UIF) whose definition follows that of the JIF but is based on usage counts.

At each time, the total probability "amount" in the different states/compartments is 1 as the system is closed.

Between two observations, the probability "amount" distributes with time between the different states, with a rate determined by the transition parameters.

Simulations: For performing simulations, a probability amount of 1 was allocated in the compartment corresponding to the simulated score (subjects are set to non-responder at baseline, see model file and an example simulation dataset in Supplementary Material).

A short list includes 1) the chance of something going wrong; 2) any hazardous entity likely to cause injury, damage, or loss; 3) in insurance, the probability, amount, or type of possible loss incurred and covered by an insurer; 4) in finance, the possibility of loss in an investment or speculation.

Evidently, determining the outage probability amounts to calculating the CDF of the mutual information.

To see why sticking by your old conditional probabilities amounts to turning them into unconditional probabilities, let's keep using \(p\) to represent the prior probabilities, and let's introduce \(p'\) to stand for the new, posterior probabilities after we learn that \(T_{1\ldots9}\).

In particular, the sum of the estimated probabilities amounted to one at all times.

Given the importance of health insurance for financing medicines and recent policy changes designed to reduce health-related out-of-pocket expenditure (OOPE) in Mexico, our study examined and analyzed the effect of health insurance on the probability and amount of OOPE for medicines and the proportion spent from household available expenditure (AE) funds.

The model predicts the major qualitative features of operant phenomena and then suggests an experimental test of theoretical predictions about the joint effects of reinforcement probability and amount of training on operant choice.

Therefore, the pixels with the same intensity have equal probability, the amount of pixels with intensity l equals to P(l|SP ij ) ⋅ R and variable R is the number of pixels in SP ij.