Results 1 to 10 of about 9,169 (255)

Central Limit Theorems for S-Gini and Theil Inequality Coefficients Teoremas central del límite para el S-Gini y el coeficiente de Theil

Revista Colombiana de Estadística, 2007
The Hungarian Construction (Komlós et al. 1975) is used for getting a proof of asymptotic normality of S-Gini coefficient; this method is very interesting because it can be used to check asymptotic normality of other income inequality measures as Theil ...
PABLO MARTÍNEZ-CAMBLOR
doaj  

Nonparametric Cutoff Point Estimation for Diagnostic Decisions with Weighted Errors Estimación no paramétrica del punto de corte asociado a una decisión diagnóstica con errores ponderados

Revista Colombiana de Estadística, 2011
The study of diagnostic tests is a hot topic which has direct applications in biomedical sciences. Despite of the relevance, in a diagnostic process, of the threshold (or cutoff point) employed on the decision taken by the physician, the study and ...
PABLO MARTÍNEZ-CAMBLOR
doaj  

Smoothed and iterated bootstrap confidence regions for parameter vectors

Journal of Multivariate Analysis, 2014
The construction of confidence regions for parameter vectors is a difficult problem in the nonparametric setting, particularly when the sample size is not large. The bootstrap has shown promise in solving this problem, but empirical evidence often indicates that some bootstrap methods have difficulty in maintaining the correct coverage probability ...
Santu Ghosh, Alan M. Polansky
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Pruning-based oversampling technique with smoothed bootstrap resampling for imbalanced clinical dataset of Covid-19. [PDF]

J King Saud Univ Comput Inf Sci, 2022
Wibowo P, Fatichah C.
europepmc   +1 more source

Bootstrapping in non-regular smooth function models

Journal of Multivariate Analysis, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression

Procedia Computer Science
Imbalanced distribution learning is a common and significant challenge in predictive modeling, often reducing the performance of standard algorithms. Although various approaches address this issue, most are tailored to classification problems, with a limited focus on regression.
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier   +2 more
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Practical higher-order smoothing of the bootstrap

, 2009
In the context of functional estimation, the bootstrap approach amounts to substitution of the empirical distribution function for the unknown underlying distribution in the definition of the functional. A smoothed bootstrap alternative substitutes instead a smoothed version of the empirical distribution function, obtained by kernel smoothing of the ...
Lee, S, Young, GA
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Testing for Sufficient Follow-Up in Survival Data With a Cure Fraction. [PDF]

Biom J
Yuen TP, Musta E.
europepmc   +1 more source

Magnetocardiography Combined With the SYNTAX Score for Exploratory Modeling of Clinician-Selected Revascularization Category in Three-Vessel Coronary Artery Disease: A Single-Center Pilot Study. [PDF]

Cardiol Res Pract
An Z, Wang S, Zhang M, Zhang M, Xu F, Feng L, Ma Z, Zhang H, Yang S, Tu C, Song X, Zhang H.   +11 more
europepmc   +1 more source

Macrogenetic Alignment in Ecological Strategies Better Interprets Assembly Processes Than Pre-Determined Functional Groupings. [PDF]

Ecol Lett
Rossetto M, Dimon R, Kooyman RM, Wilson PD, Yap JS.   +4 more
europepmc   +1 more source