Results 141 to 150 of about 88,029 (195)
A smoothing and bootstrap-based framework for early outbreak detection. [PDF]
PLoS OneWang L, Xia Y, Goh EH, Chen M.
europepmc +1 more source
<i>Sphenomorphus tamchucensis</i> sp. nov. (Squamata, Scincidae), a new skink from Vietnam. [PDF]
ZookeysPham AV +7 more
europepmc +1 more source
Non-Parametric Goodness-of-Fit Tests Using Tsallis Entropy Measures. [PDF]
Entropy (Basel)Cadirci MS.
europepmc +1 more source
Bootstrap of residual processes in regression: to smooth or not to smooth?
, 2018 Neumeyer, N., Van Keilegom, Ingrid
openaire +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Smoothed Bootstrap Methods for Bivariate Data
Journal of Statistical Theory and Practice, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asamh Saleh M. Al Luhayb +2 more
openaire +2 more sources
International Statistical Review / Revue Internationale de Statistique, 1992
Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
openaire +2 more sources
Summary: The question of smoothing when using the non-parametric version of the bootstrap for estimation of population functionals is reconsidered. In general, there is no global preference for procedures based on a smoothed version of the empirical distribution rather than the empirical distribution itself.
de Angelis, Daniela, Young, G. Alastair
openaire +2 more sources
The bootstrap: To smooth or not to smooth?
Biometrika, 1987In the statistical bootstrap the sample is resampled with replacement. However, these samples with replacement are not drawn from the unknown distribution F itself but from the empirical distribution function \(F_ n\) of the observed data. Because \(F_ n\) is a discrete distribution, samples constructed from \(F_ n\) in the bootstrap simulations will ...
Silverman, B. W., Young, G. A.
openaire +1 more source
Journal of Statistical Planning and Inference, 2000
Let \(X_1,X_2,\dots, X_n\) be a sample of independent and identically distributed random variables. Denote by \(F\) the distribution function of \(X\). The authors consider the problem of estimating the parameter \(T(F)\) by a statistic \(T(\widehat F_n)\), where \(\widehat F_n(x)= \int^x_{-\infty} f_n(u) du\) and \(f_n(u)\) is the well-known kernel ...
El-Nouty, Charles, Guillou, Armelle
openaire +1 more source
Let \(X_1,X_2,\dots, X_n\) be a sample of independent and identically distributed random variables. Denote by \(F\) the distribution function of \(X\). The authors consider the problem of estimating the parameter \(T(F)\) by a statistic \(T(\widehat F_n)\), where \(\widehat F_n(x)= \int^x_{-\infty} f_n(u) du\) and \(f_n(u)\) is the well-known kernel ...
El-Nouty, Charles, Guillou, Armelle
openaire +1 more source
On multivariate smoothed bootstrap consistency
Journal of Statistical Planning and Inference, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DE MARTINI D, RAPALLO F
openaire +5 more sources