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- W4312084826 abstract "Urn models play an important role to express various basic ideas in probability theory. Here we extend this urn model with tubes. An urn contains coloured balls, which can be drawn with probabilities proportional to the numbers of balls of each colour. For each colour a tube is assumed. These tubes have different sizes (lengths). The idea is that after drawing a ball from the urn it is dropped in the tube of the corresponding colour. We consider two associated probability distributions. The first-full distribution on colours gives for each colour the probability that the corresponding tube is full first, before any of the other tubes. The negative distribution on natural numbers captures for a number <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>k</mml:mi></mml:math> the probability that all tubes are full for the first time after <mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML><mml:mi>k</mml:mi></mml:math> draws.This paper uses multisets to systematically describe these first-full and negative distributions in the urns and tubes setting, in fully multivariate form, for all three standard drawing modes (multinomial, hypergeometric, and Pólya)." @default.
- W4312084826 created "2023-01-04" @default.
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- W4312084826 date "2022-12-28" @default.
- W4312084826 modified "2023-09-29" @default.
- W4312084826 title "Urns & Tubes" @default.
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- W4312084826 doi "https://doi.org/10.32408/compositionality-4-4" @default.
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