Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Jiménez Gamero, María Dolores"'
Finding the eigenvalues connected to the covariance operator of a centred Hilbert-space valued Gaussian process is genuinely considered a hard problem in several mathematical disciplines. In statistics this problem arises for instance in the asymptot
Externí odkaz:
http://arxiv.org/abs/2408.08064
We generalize a recent class of tests for univariate normality that are based on the empirical moment generating function to the multivariate setting, thus obtaining a class of affine invariant, consistent and easy-to-use goodness-of-fit tests for mu
Externí odkaz:
http://arxiv.org/abs/1711.07199
We provide novel characterizations of multivariate normality that incorporate both the characteristic function and the moment generating function, and we employ these results to construct a class of affine invariant, consistent and easy-to-use goodne
Externí odkaz:
http://arxiv.org/abs/1706.03029
Arriaza et al (Metrika 82:99–124, 2019) introduced the right and left shape functions, which enjoy interesting properties in terms of describing the global form of a distribution. This paper proposes and studies nonparametric estimators of those fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3690::6e29ed71e32f9021d9b50694a9b68eae
https://link.springer.com/10.1007/s00362-023-01456-7
https://link.springer.com/10.1007/s00362-023-01456-7
Autor:
Henze, Norbert1 (AUTHOR), Jiménez‐Gamero, María Dolores2 (AUTHOR) dolores@us.es
Publikováno v:
Scandinavian Journal of Statistics. Jun2021, Vol. 48 Issue 2, p406-428. 23p.
This paper studies the problem of simultaneously testing that each of k independent samples come from a normal population. The means and variances of those populations may differ. The proposed procedures are based on the BHEP test and they allow k to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::fe6583d19edfc14d0ab4db7e75f98868
Publikováno v:
Scandinavian Journal of Statistics, 2015 Mar 01. 42(1), 197-213.
Externí odkaz:
http://www.jstor.org/stable/24586775
Autor:
Benítez Peña, Sandra, Carrizosa Priego, Emilio José, Guerrero, Vanesa, Jiménez Gamero, María Dolores
Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method may have better accuracy th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::f5b8e2ac15f9996f3e0c1bc51f4b8d96
Given k independent samples of functional data, this paper deals with the problem of testing for the equality of their mean functions. In contrast to the classical setting, where k is kept fixed and the sample size from each population increases with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::ddfbe5926c7e231f4cf9c518a658e7a0
The paper first introduces a new two-parameter continuous probability distribution with bounded support from the extended exponential-geometric distribution. Closed-form expressions are given for the moments, moments of the order statistics and quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af0290db2cfadccda40617f70f986eca