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BeyondBenford: An R Package to Determine Which of Benford's or BDS's Distributions is the Most Relevant

The package BeyondBenford compares the goodness of fit of Benford's and Blondeau Da Silva's (BDS's) digit distributions in a dataset. The package is used to check whether the data distribution is consistent with theoretical distributions highlighted

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On minimal Besicovitch arrangements

Autor: da Silva, St��phane Blondeau

In this paper we focus on minimal Besicovitch arrangements to highlight some of their properties. An appropriate probability space enables us to find again in an elegant way some straightforward equalities associated with these arrangements. Resultin

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Benford or not Benford: new results on digits beyond the first

Autor: da Silva, St��phane Blondeau

In this paper, we will see that the proportion of d as p th digit, where p > 1 and d $\in$ 0, 9, in data (obtained thanks to the hereunder developed model) is more likely to follow a law whose probability distribution is determined by a specific uppe

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Benford or not Benford: a systematic but not always well-founded use of an elegant law in experimental fields

Autor: da Silva, St��phane Blondeau

In this paper, we will see that the proportion of d as leading digit, d $\in$ 1, 9, in data (obtained thanks to the hereunder developed model) is more likely to follow a law whose probability distribution is determined by a specific upper bound, rath

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Complexities of Erez self-dual normal bases

Autor: da Silva, St��phane Blondeau

The complexities of self-dual normal bases, which are candidates for the lowest complexity basis of some defined extensions, are determined with the help of the number of all but the simple points in well chosen minimal Besicovitch arrangements. In t

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Dinâmica discreta não linear de populações isoladas

Autor: Afonso, Alexandra Cristina Ramos, 1974, Aubyn, António Gabriel da Silva St.

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Lusíada. Economia & Empresa. - ISSN 1645-6750. - S. 2, n. 6 (2006). - p. 119-168. Este trabalho trata da modelação de crescimento de populações isoladas utilizando sistemas dinâmicos discretos não lineares. Estuda-se em primeiro lugar os compo

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