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NOUN | a measure | measures | |

VERB | to measure | measured | measured measuring | measures | |

SYNO | amount | bar | beat | ... |

measure {noun} | μέτρο {το} |

Usage Examples English

**Measure**5 was followed up with Measure 47 in 1996 and Measure 50 in 1997.- Via Lebesgue's decomposition theorem, every σ-finite
**measure**can be decomposed into the sum of an absolutely continuous measure and a singular measure with respect to another σ-finite measure. - In mathematics, a pre-
**measure**is a set function that is, in some sense, a precursor to a "bona fide" measure on a given space. - Classical Wiener
**measure**is a Gaussian measure: in particular, it is a strictly positive probability measure. - In mathematics, a locally finite
**measure**is a measure for which every point of the measure space has a neighbourhood of finite measure.

- In terms of
**measure**theory, the differential entropy of a probability measure is the negative relative entropy from that measure to the Lebesgue measure, where the latter is treated as if it were a probability measure, despite being unnormalized. - Conversely, any homogeneous system of imprimitivity is of this form, for some
**measure**σ-finite measure μ. - In probability theory, an intensity
**measure**is a measure that is derived from a random measure. - A
**measure**in which all subsets of null sets are measurable is "complete". - Many contrapuntal passages appear throughout the prelude: diminution at
**measure**28, augmentation at measure 75, "stretto" at measure 25, and fragmentation at measure 67.

- In
**measure**-theoretic terms, Boole's inequality follows from the fact that a measure (and certainly any probability measure) is "σ"-sub-additive. - The real line carries a canonical
**measure**, namely the Lebesgue measure. - For a general
**measure**space ("S",Σ,"μ") and measurable subsets "A"1, …, "A'n" of finite measure, the above identities also hold when the probability measure [...] is replaced by the measure "μ". - Conditional expectation is unique up to a set of
**measure**zero in [...]. The measure used is the pushforward measure induced by [...].

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