# bounded interval

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 Noun 1 bounded interval - an interval that includes its endpointsclosed intervalinterval - a set containing all points (or all real numbers) between two given endpoints
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Given a closed and bounded interval J = [0, T] of the real line R for some T > 0, we consider the quadratic functional integral equation (in short QFIE) with maxima
A lower confidence bound's coverage is determined as the probability that the bounded interval contains the true parameter of interest.
Stochastic calculus with jumps is restricted to compound Poisson processes which have only a finite number of jumps on any bounded interval.
T(s) and t(s) mean that, for a given number of solar cycles (e.g., M), it is expected that M - 2 values will be confined to a bounded interval. The bounds are estimated by (4) and 5), being one case higher (or lower) than the bound obtained through (4) (or (5)).
whose domain is the bounded interval (-[s.sub.1], [s.sub.1]) with
In Section 2, we introduce the Bernstein measures on [-1,1] and we recall the Szego transformations of measures supported on a bounded interval and the unit circle.
The italicized side is used in such a way that the upper side means the bounded interval of ([Mu], [Mu] + 3[Sigma]] and the lower side means the bounded interval of [[Mu] - 3[Sigma], [Mu]), instead of the open intervals of ([Mu], [infinity]) and (-[infinity], [Mu]) respectively.
324-6) because they possess a 'mind' that transcends the material 'brain' and can develop non-mechanically through reflection.(2) This sensitivity can allow humans to be affected by non-computable aspects of their environment such as randomness (which we referred to above) or the possibility that a bounded interval of time can consist of an uncountable set of temporal points.
Then we will demonstrate that N(D(w)) is an equicontinuous set for each closed bounded interval [0,T] in J.
Moreover, [F.sub.[lambda]] and its partial derivatives are bounded on the sets R x J, where J is an arbitrary bounded interval. We notify that the parameter value [lambda] = 0.5 is a border value for these assumptions since at [lambda] = 0.5 [F.sub.[lambda]] (t, x) can vanish for x = 0.

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