Results 21 to 30 of about 165,608 (287)

Uniform error bounds for smoothing splines [PDF]

open access: yes, 2006
Almost sure bounds are established on the uniform error of smoothing spline estimators in nonparametric regression with random designs. Some results of Einmahl and Mason (2005) are used to derive uniform error bounds for the approximation of the spline ...
Eggermont, P. P. B., LaRiccia, V. N.
core   +1 more source

Kernel smoothing dos dados de chuva no Nordeste [PDF]

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental, 2014
O regime de chuvas sobre o Nordeste do Brasil é bastante complexo, sendo considerado sazonal, além de sofrer fortes influências dos fenômenos El Niño, La Niña e outros sistemas meteorológicos, como o dipolo, atuantes sobre as bacias do oceano Atlântico ...
Nyedja F. M. Barbosa   +5 more
doaj   +3 more sources

PENDEKATAN REGRESI NONPARAMETRIK DENGAN MENGGUNAKAN ESTIMATOR KERNEL PADA DATA KURS RUPIAH TERHADAP DOLAR AMERIKA SERIKAT

open access: yesE-Jurnal Matematika, 2018
Nonparametric regression can be applied for some data types one of them is time series data. The technique of this method is called smoothing technique.
DEWA AYU DWI ASTUTI   +2 more
doaj   +1 more source

Kernel Density Estimators for Gaussian Mixture Models

open access: yesLithuanian Journal of Statistics, 2013
The problem of nonparametric estimation of probability density function is considered. The performance of kernel estimators based on various common kernels and a new kernel K (see (14)) with both fixed and adaptive smoothing bandwidth is compared in ...
Tomas Ruzgas, Indrė Drulytė
doaj   +1 more source

Effects of spatial smoothing on group-level differences in functional brain networks

open access: yesNetwork Neuroscience, 2020
Brain connectivity with functional magnetic resonance imaging (fMRI) is a popular approach for detecting differences between healthy and clinical populations.
Ana María Triana   +3 more
doaj   +1 more source

Nonparametric estimate remarks

open access: yesActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2006
Kernel smoothers belong to the most popular nonparametric functional estimates. They provide a simple way of finding structure in data. The idea of the kernel smoothing can be applied to a simple fixed design regression model.
Jitka Poměnková
doaj   +1 more source

Peramalan Permintaan Inti Sawit (Kernel) di PT. Perkebunan Nusantara V Sei Pagar

open access: yesJurnal Teknik Industri: Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri, 2018
Produksi inti sawit (kernel) yang berlebih di PT. Perkebunan Nusantara V Sei Pagar mengindikasikan produksi yang tidak direncanakan dengan baik. Akibatnya terdapat penumpukan sisa penjualan selama tahun 2016 yang jumlahnya mengalami kenaikan 2 kali lipat
Nofirza Nofirza
doaj   +1 more source

Regression with Ordered Predictors via Ordinal Smoothing Splines

open access: yesFrontiers in Applied Mathematics and Statistics, 2017
Many applied studies collect one or more ordered categorical predictors, which do not fit neatly within classic regression frameworks. In most cases, ordinal predictors are treated as either nominal (unordered) variables or metric (continuous) variables ...
Nathaniel E. Helwig, Nathaniel E. Helwig
doaj   +1 more source

Effects of Smoothing Functions in Cosmological Counts-in-Cells Analysis [PDF]

open access: yes, 2006
A method of counts-in-cells analysis of galaxy distribution is investigated with arbitrary smoothing functions in obtaining the galaxy counts. We explore the possiblity of optimizing the smoothing function, considering a series of $m$-weight Epanechnikov
Matsubara, Takahiko, Murata, Yoshitaka
core   +3 more sources

Heat Kernels, Smoothness Estimates, and Exponential Decay [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2012
25 ...
Boggess, Albert, Raich, Andrew
openaire   +2 more sources

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