1975
DOI: 10.1073/pnas.72.5.1654
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Some Distributions Associated with Bose-Einstein Statistics

Abstract: This paper examines a stochastic process for Bose-Einstein statistics that is based on Gibrat's Law (roughly: the probability of a new occurrence of an event is proportional to the number of times it has occurred previously). From the necessary conditions for the steady state of the process are derived, under two slightly different sets of boundary conditions, the geometric distribution and the Yule distribution, respectively. The latter derivation provides a simpler method than the one earlier proposed by Hil… Show more

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Cited by 70 publications
(22 citation statements)
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“…Then, new firms are added at rate α, and old products are removed every 1/δ new product assignments. In line with our empirical findings, this model leads to a Pareto distribution of the number of constituent business units [5]. Once captured, each elementary unit is assumed to grow in size following a geometric process which in logs reads ds t = adt + bdW t .…”
Section: Scaling Properties and Proportional Growthmentioning
confidence: 72%
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“…Then, new firms are added at rate α, and old products are removed every 1/δ new product assignments. In line with our empirical findings, this model leads to a Pareto distribution of the number of constituent business units [5]. Once captured, each elementary unit is assumed to grow in size following a geometric process which in logs reads ds t = adt + bdW t .…”
Section: Scaling Properties and Proportional Growthmentioning
confidence: 72%
“…Like in [5], each distinguishable arrangement of products at the firm level is assumed to have an equal probability of occurrence. Assignment or loss of business opportunities to firms is modelled by randomly selecting firm i proportionally to the number of its products N i .…”
Section: Scaling Properties and Proportional Growthmentioning
confidence: 99%
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“…We explained in section 4 that non-self-averaging emerges when "size-effects" on probabilities are present. Ijiri andSimon (1975 and1977) present a model in which power-law emerges. The stochastic equilibrium in the macroeconomy must be analyzed by such models in which disturbing forces generate power-law and non-self-averaging.…”
Section: Discussionmentioning
confidence: 99%
“…164-166) can also be used to show that the log-gamma probability density is based on Bose-Einstein statistics and, therefore, satisfies a crucial additivity requirement, something we now briefly develop (Ijiri & Simon, 1975). 15 We have previously noted that −log[x j (h)] is distributed as a gamma variate with parameters and h and so, if the x j (h) are independent, then Freund & Walpole (1987, pp.…”
mentioning
confidence: 97%