Sentence examples for of any probability from inspiring English sources

Exact(6)

The log-concavity of any probability distribution has important implications on its reliability function, failure rate function, tail probabilities and moments.

The main advantage of this criterion is that it is independent of external parameters and assumptions of any probability density function.

Multiplication of any probability distribution P k−1=(p 0,k−1, p 1,k−1, …, p r−1,k−1) T by F gives a new probability distribution P k =FP k−1.

The probability of a proposition is always relative to premises or data, and the supposition that probability is always relative to something else that is itself only probable means that probabilities can never get off the ground and so is incompatible with the justifiable assignment of any probability at all.

By introducing the sample divergence rate of any probability measure with respect to m th-order nonhomogeneous Markov measure on an m rooted Cayley tree, we establish a class of strong deviation theorems for the arbitrary random fields indexed by that tree with respect to m th-order nonhomogeneous Markov chains indexed by that tree.

In fact, the symmetric Bernoulli distribution has the lowest kurtosis of any probability distribution (DeCarlo, 1997).

Similar(54)

The improved model enables probability-based prediction of vibration levels for any probability of non-exceedance, while the existing model allows for vibration prediction related to 75% probability of non-exceedance for design purposes.

Only when lobbyist bribery is forced entirely out of campaigns can we have any probability of honest representation.

"They didn't see any probability of getting one of the big holes done".

In the admixture analysis, all individuals were unambiguously assigned to their respective group without any probability of being misplaced.

Interval-valued probabilities are represented as convex sets of probability measures (a set of probability measures is convex just in case the mixture xPr1 + (1 − x Pr2 of any two probability measures Pr1, Pr2 in the set is also in the set, where x is a real number from the unit interval [0,1]).

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