Zobrazeno 1 - 10
of 14
pro vyhledávání: '"M. Fátima Brilhante"'
Publikováno v:
AppliedMath, Vol 4, Iss 3, Pp 1128-1142 (2024)
The classical tests for combining p-values use suitable statistics T(P1,…,Pn), which are based on the assumption that the observed p-values are genuine, i.e., under null hypotheses, are observations from independent and identically distributed Unif
Externí odkaz:
https://doaj.org/article/68f3182c06474a579cf56847bd810560
Publikováno v:
Fractal and Fractional, Vol 7, Iss 2, p 194 (2023)
Logistic and Gompertz growth equations are the usual choice to model sustainable growth and immoderate growth causing depletion of resources, respectively. Observing that the logistic distribution is geo-max-stable and the Gompertz function is propor
Externí odkaz:
https://doaj.org/article/e3a680d076a049818d676d42d5f2a755
Publikováno v:
Revstat Statistical Journal, Vol 17, Iss 2 (2019)
A very popular model in population dynamics, which has been around since the first half of the nineteenth century, is the Verhulst logistic model. However, some limitations of this model have provided grounds to propose more sophisticated growth mode
Externí odkaz:
https://doaj.org/article/0585f612f7114553b2b94f35a75e026d
Publikováno v:
Communications in Statistics - Simulation and Computation. 45:833-862
Noting that the classical Hill estimator of a positive extreme value index (EVI) is the logarithm of the mean of order-0 of a set of certain statistics, a more general class of EVI-estimators based on the mean of order-p (MOP), p ⩾ 0, of such stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc2ecbd35a6c8b32d4bcede1cffef3e
https://doi.org/10.1080/03610918.2013.875567
https://doi.org/10.1080/03610918.2013.875567
Publikováno v:
Computational Statistics & Data Analysis. 82:223-237
A class of partially reduced-bias estimators of a positive extreme value index (EVI), related to a mean-of-order- p class of EVI-estimators, is introduced and studied both asymptotically and for finite samples through a Monte-Carlo simulation study.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513ca8b0ea29678b0b640102dd5fb58b
https://doi.org/10.1016/j.csda.2014.08.017
https://doi.org/10.1016/j.csda.2014.08.017
Publikováno v:
Computational Statistics & Data Analysis. 57:518-535
The classical Hill estimator of a positive extreme value index (EVI) can be regarded as the logarithm of the geometric mean, or equivalently the logarithm of the mean of order p = 0 , of a set of adequate statistics. A simple generalisation of the Hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e88c1da5e1f227f181245037a81d9636
https://doi.org/10.1016/j.csda.2012.07.019
https://doi.org/10.1016/j.csda.2012.07.019
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783319180281
The main objective of statistics of univariate extremes lies in the estimation of quantities related to extreme events. In many areas of application, like finance, insurance and statistical quality control, a typical requirement is to estimate a high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49165dbf45bf3c633a7ccef1113e4866
https://doi.org/10.1007/978-3-319-18029-8_23
https://doi.org/10.1007/978-3-319-18029-8_23
Publikováno v:
AIP Conference Proceedings.
The BetaBoop(p, q, P, Q), p, q, P, Q > 0, family of random variables includes as special cases Beta(p, q) random variables, which are known to be quite versatile in modeling different randomness patterns. Some results of the multiplicative algebra of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bda6bee6669b39d837e7be6d5228b3a4
https://doi.org/10.1063/1.4912748
https://doi.org/10.1063/1.4912748
Publikováno v:
AIP Conference Proceedings.
The family Xm, m ∈ [−2, 2], whose density is obtained tilting the uniform density using the pole (0.5, 1) has as extreme cases the Beta(1, 2) density, corresponding to m=−2, and the Beta(2, 1) density, corresponding to m=2. For intermediate m,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1daaec2df073e65662d1b6cddb6a22df
https://doi.org/10.1063/1.4912749
https://doi.org/10.1063/1.4912749
Publikováno v:
New Advances in Statistical Modeling and Applications ISBN: 9783319053226
A simple generalisation of the classical Hill estimator of a positive extreme value index (EVI) has been recently introduced in the literature. Indeed, the Hill estimator can be regarded as the logarithm of the geometric mean, or equivalently the log
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d45b2e5dbef6d47f66497e700137f38
https://doi.org/10.1007/978-3-319-05323-3_16
https://doi.org/10.1007/978-3-319-05323-3_16