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El supuesto de normalidad: ¿mito o realidad?
(Universidad de La Salle. Ediciones Unisalle, 23 d)
A Bayesian approach to hybrid splines non-parametric regression
(Taylor & Francis LtdAbingdonInglaterra, 2002)
Phylogenetic trees via Hamming distance decomposition tests
(Taylor & Francis LtdAbingdonInglaterra, 2012)
A family of non-parametric density estimation algorithms
(Wiley, 2013-02)
A new methodology for density estimation is proposed. The method- ology, which builds on the one developed in [15], normalizes the data points through the composition of simple maps. The parameters of each map are determined ...
Non-parametric edge detection in speckled imagery
(Universidade Federal de Pernambuco, 2014)
Study of statistic stability to select high-yielding and stable peach genotypes
(Elsevier Science, 2014-08)
In peach breeding, suitable identification methods for performance stability studies as well as the associations between stability parameters are poorly understood. Therefore, the aims of this work were to compare parametric ...
Independence Test For Sparse Data
(Amer Inst PhysicsMelville, 2016)
Bayesian inference for longitudinal data with non-parametric treatment effects
(2014)
We consider inference for longitudinal data based on mixed-effects models with a non-parametric Bayesian prior on the treatment effect.
The proposed non-parametric Bayesian prior is a random partition model with a regression ...
IDENTIFICATION OF HYDROLOGICAL PERIODS BY MEANS OF DESCRIPTIVE STATISTICS AND NON PARAMETRIC TESTS OF PETTITT AND MANN-KENNDALL
(Univ Federal Ceara, Programa Pos-graduacao & Filosofia, 2015-11-01)
The aim of this paper is to compare results of hydrological periods obtained through different methodologies. So, descriptive statistic techniques as central trend measures: mean, dispersive measures: standard deviation ...