1939
DOI: 10.1017/s0305004100020818
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The fluctuation theorem. (Shot effect)

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Cited by 4 publications
(4 citation statements)
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“…For large values of n, n ≫ 1, that is when a large number of shots occur during each decay timescale, one can make use of the asymptotic formulation known as Campbell's Theorem (Campbell 1909a(Campbell , 1909b). Campbell's Theorem states that for n ≫ 1 the distribution asymptotically approaches that of a Gaussian or normal distribution with mean…”
Section: Appendix A: Application Of Shot Noise To Accretion Onto Whitmentioning
confidence: 99%
“…For large values of n, n ≫ 1, that is when a large number of shots occur during each decay timescale, one can make use of the asymptotic formulation known as Campbell's Theorem (Campbell 1909a(Campbell , 1909b). Campbell's Theorem states that for n ≫ 1 the distribution asymptotically approaches that of a Gaussian or normal distribution with mean…”
Section: Appendix A: Application Of Shot Noise To Accretion Onto Whitmentioning
confidence: 99%
“…The number of pulses or structures in any given record can not exceed N , m  t º D and it can not be argued that a limiting case exists with , m  ¥ resulting in a Gaussian probability density. In the process proposed by, for instance, Campbell [40,41], structures are allowed to overlap and a Gaussian process results by the central limit theorem [38,39] when the number of overlapping structures increases on average as . m  ¥ The Gaussian limit is not reached for large structure densities with models like ours where structures do not overlap.…”
Section: Simple Model Based On Coherent Structuresmentioning
confidence: 99%
“…Here we will refer to the Rice model [39,49,50] that has been used often. Elements of these ideas were presented before [40,41,51].…”
Section: Appendix Analytical Models For Synthetic Datamentioning
confidence: 99%
“…Consider a stochastic process given by the super-position of a random sequence of K pulses in a time interval of duration T , [13][14][15][16][17][18][19][20]…”
mentioning
confidence: 99%