Results 31 to 40 of about 501,333 (190)
This program deforms an original 3D image according to a certain deformation vector field (DVF).
Pohl Michel
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On the asymptotic behavior of the Nadaraya-Watson estimator associated with the recursive SIR method [PDF]
International audienceWe investigate the asymptotic behavior of the Nadaraya-Watson estimator for the estimation of the regression function in a semiparametric regression model.
Mong Ngoc Nguyen, Thi +2 more
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ANALISIS REGRESI KERNEL DENGAN ESTIMATOR NADARAYA-WATSON [PDF]
Regresi linear adalah metode statistika yang digunakan untuk membentuk model hubungan antara variabel terikat (dependen; respon; Y) dengan satu atau lebih variabel bebas (independen; prediktor; X).
Rani Handayani, NIM. 15610013
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In this paper new methods were presented based on technique of differences which is the difference- based modified jackknifed generalized ridge regression estimator(DMJGR) and difference-based generalized jackknifed ridge regression estimator(DGJR), in ...
Saja Mohammad Hussein
doaj +1 more source
APPROXIMATELY SINGULAR WAVELET
The problem of approximation is relevant for most engineering applications. In this connection, the universal methods of approximation are of interest. The method of nonparametric approximation is developing in the paper – the method of singular wavelets.
V. M. Romanchak
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The Weighted Nadaraya-Watson Estimator : Strong Consistency Results, Rates of Convergence, and a Local Bootstrap Procedure to Select the Bandwidth [PDF]
This dissertation consists of three research manuscripts, establishing strong consistency results and introducing a bandwidth selection method for the weighted Nadaraya-Watson estimator.
Steikert, Kristoph U
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Fuzzy Semi-Parametric Logistic Quantile Regression Model
In this paper, the fuzzy semi-parametric logistic quantile regression model was studied in the absence of special conditions in the classical regression models.
Ahmed Razzaq, Ayad H. shemaila
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Weighted Nadaraya-Watson Estimation of Conditional Expected Shortfall [PDF]
This paper addresses the problem of nonparametric estimation of the conditional expected shortfall (CES) which has gained popularity in nancial risk management. We propose a new nonparametric estimator of the CES. The proposed estimator is dened as a conditional counterpart of the sample average estimator of the unconditional expected shortfall, where ...
openaire +2 more sources
Data-driven computing in elasticity via kernel regression
: This paper presents a simple nonparametric regression approach to data-driven computing in elasticity. We apply the kernel regression to the material data set, and formulate a system of nonlinear equations solved to obtain a static equilibrium state of
Yoshihiro Kanno
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A Criterion for the Fuzzy Set Estimation of the Regression Function
We propose a criterion to estimate the regression function by means of a nonparametric and fuzzy set estimator of the Nadaraya-Watson type, for independent pairs of data, obtaining a reduction of the integrated mean square error of the fuzzy set ...
Jesús A. Fajardo
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