Sentence examples for tight probability from inspiring English sources

We analyze the impact of our assumptions on actual software development effort, and propose a tight probability upper bound and a central-limit theorem based probability estimator for estimating the approximate probability that the software development effort will be less than or equal to a certain number.

Observe first that Theorems 2 and 3 are of direct practical interest only if it is possible to efficiently compute a tight probability bound γ and associated altitude function A x) which satisfy the theorem conditions.

If the global slack retained at the coordinator node is tight, the probability of failure at partial resolution phase becomes high.

Figure 2 The conventional and tighter outage probability of JNCC are compared.

A correct amorphous density (ca. 85% of the crystalline density) was obtained by controlling the probability of tight folding.

Then, utilizing weights (hat {w}_{j}) determined from Equation 3, we write the tight lower-bound outage probability ({P_{o}^{c}}) in the form: begin{array}{*{20}l} {P_{o}^{c}}=Pleft(hat{Z}_{c}

Furthermore, historically speaking, several distinguished theorists such as De Morgan (1847), Boole (1854), Ramsey (1926), de Finetti (1937), Carnap (1950), Jeffrey (1992) and Howson (2003, 2007, 2009) have emphasized the tight connections between logic and probability, or even considered their work on probability as a part of logic itself.

It is proved theoretically and by means of numerical experiments, that the latter method provides tighter bounds on the probability of failure than those estimated by random set theory.

More specifically, we propose an upper and lower bound on the diversity order, a scalable code design and a new lower bound on the word error rate that is tighter than the outage probability and thus better suited to assess the performance of the overall error-correcting code.

A methodology is provided in this article to calculate a tight upper bound of the exceedance probability, given any probability distribution from a wide range of commonly used distributions.

Hence, the PEP, which is a tight bound for exact error probability is being used [39].