Sentence examples for physical probability from inspiring English sources

(Lewis later made significant revisions to his account in order to address problems involving physical probability. See his 1986 and his 1994).

The notion of physical probability is connected to one of the major theories of statistical method, which has come to be called classical statistics.

Performance indicators at both physical (probability of decision error) and network (network transmission rate, throughput, aggregate throughput, delay, and network lifetime) layers are considered.

Physical probability cannot meaningfully be attributed to statistical hypotheses, since hypotheses do not have tendencies or frequencies with which they come about: they are categorically true or false, once and for all.

Their common core is that they establish or at least clarify the connection between two conceptual realms: the statistical procedures refer to physical probabilities, while their results pertain to evidence and support, and even to the rejection or acceptance of hypotheses.

Nevertheless, based on our study, virtual collisions only increase packet delays, but do not drop packets even if over retried, and thus it is enough to understand or predict the packet loss rate (PLR) simply from the physical collision probability, without knowing the details of the virtual collision probability.

Modeling the test probabilities as those delivering event probabilities bounded above by a concave distribution function evaluated at the physical event probability, leads to upper and lower prices as distorted expectations.

Thus, the remaining questions are (1) how to predict the physical collision probability and (2) how to predict PLR from the physical collision probability.

It is because of this special case that the physical collision probability can be solved uniquely.

These show a strong support for our prediction and understanding of Eq. (6), which predicts PLR from the physical collision probability given by Eqs.

Obviously, the physical collision probability enlarges with the number of wireless stations (Ns) or the total traffic rate before it reaches a saturated rate.