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Summary Distribution functions for streams of events (and, in particular, for the length of the interval “between successive events”) are defined within the framework of the theory of Khintchine (1955). Relationships such as that between the distributions for the length of an “arbitrary interval” between successive events, the interval containing a fixed point and that of the time to the nth event after t = 0 are discussed briefly in this context. The definitions and results are extended to deal with mixtures of two streams, in which the events are alternately of opposite type. An important application concerns upcrossings and downcrossings of a level by a stationary stochastic process.
probability theory
probability theory
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |