On Non-Parametric Estimation of Regression Function [PDF]
The Egyptian Statistical Journal, 1984 Hegazi Sabry
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Determination of Reactivity Ratios from Binary Copolymerization Using the k-Nearest Neighbor Non-Parametric Regression. [PDF]
Polymers (Basel), 2021 Fazakas-Anca IS, Modrea A, Vlase S.
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GPS Data-based Non-parametric Regression for Predicting Travel Times in Urban Traffic Networks
Promet (Zagreb), 2010 A model for predicting travel times by mining spatio-temporal data acquired from vehicles equipped with Global Positioning System (GPS) receivers in urban traffic networks is presented.
Hrvoje Marković +4 more
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Regional forecasting of COVID-19 caseload by non-parametric regression: a VAR epidemiological model. [PDF]
AIMS Public Health, 2021 Shang AC, Galow KE, Galow GG.
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Robust Forecasting of Non-Stationary Time Series [PDF]
This paper proposes a robust forecasting method for non-stationary time series. The time series is modelled using non-parametric heteroscedastic regression, and fitted by a localized MM-estimator, combining high robustness and large efficiency.
Mahieu, K. +3 more
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Royal jelly fatty acids bioprofiling using TLC-MS and digital image analysis coupled with chemometrics and non-parametric regression for discovering efficient biomarkers against melanoma. [PDF]
RSC Adv, 2021 Ibrahim RS, El-Banna AA.
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Non-Parametric Estimation of a Smooth Regression Function
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1977 Summary This paper presents a new family of non-parametric estimators of a smooth regression function, which are shown to have theoretical advantages in small samples over some alternative estimators. The new estimator has practical computational advantages over spline functions, while its smoothing properties are very close to the ...
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Adaptive Non-Parametric Instrumental Regression in the Presence of Dependence
Annals of Economics and Statistics, 2017 We consider the estimation of a structural function which models a non-parametric relationship between a response and an endogenous regressor given an instrument in presence of dependence in the data generating process. Assuming an independent and identically distributed (iid.) sample it has been shown in Johannes and Schwarz (2010) that a least ...
Asin, Nicolas, Johannes, Jan
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Parametric Interpretation of Non-Parametric Regression Models [PDF]
, 2014 The advantage of the parametric regression models is the possibility of interpretation of the parameters of the regression model, i.e. to determine the direction and strength of the influence of predictors on the dependent variable.
Stelmach, Jacek
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AxiomsIn modern survey sampling, particularly when using stratified random sampling (StRS), the existence of outliers and model mis-specifications is a daunting challenge to the conventional parametric and nonparametric methods of estimating parameters.
Rashid Mahmood +3 more
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