Sentence examples for allow a probability from inspiring English sources

The phrase "allow a probability" is correct and usable in written English.
It can be used when discussing the acceptance or consideration of a certain likelihood or chance of an event occurring.
Example: "The experiment was designed to allow a probability of error, ensuring that the results were still valid despite minor inaccuracies."
Alternatives: "permit a likelihood" or "accept a chance".

Exact(1)

Not only does this method allow a probability estimation for every peptide identification is a false positive (and thus protein) but also, because it uses mass spectra generated in the experiment, it does not rely on arbitrary cut off values derived from unrelated experiments [40].

Similar(59)

The fits to the two different models are compared and the Bayesian formalism allows a probability of periodicity to be calculated, denoted s.

The study conclusions are that in terms of RI the outcome of patients with CMR or MR was very similar, allowing a probability of cure around 70% in patients treated with chemotherapy only because MR at TP1 and TP2, and CMR at TP3.

To be able to lock up to positions, it is necessary to allow a nonzero probability of nonembedding.

However, for low signal-to-noise ratio (SNR) targets, the detection threshold must be lowered to allow a sufficient probability of detection, thus generating an excessive number of false alarms.

We can use our modelling framework and Bayes' theorem (see 'Materials and methods') to obtain a formula for this conditional probability, allowing a rigorous probability to be assigned to inferences from preimplantation sampling.

We can see that, if we allow a higher outage probability, then the threshold increases.

In the following, the systems allow a maximum outage probability of 10%.

4 Hausman et al. (1998) also allow for a probability of misclassifying a true zero as a one.

However, the cause-specific models do not allow for a probability interpretation because the cumulative probability depends on other cause-specific events.

A sample of 850 pregnant women would result in 170 exposed and 680 non-exposed infants which gives a power of 90% allowing a 5% probability of type I error.

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