Results 71 to 80 of about 310,119 (204)
Consistency of a nearest neighbor density estimator for dependent variables
, 2005 In this article, pointwise consistency and uniform complete consistency of an alternative nonparametric density estimator are proved for φ-mixing and α-mixing processes.
Yu, Jun,, Yu, Jun
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A Nonparametric Model of Frontiers [PDF]
In this paper we propose a nonparametric regression frontier model that assumes no specific parametric family of densities for the unobserved stochastic component that represents efficiency in the model.
Carlos Martins-FIlho, Feng Yao
core
Probability density estimation using data projection
Lietuvos Matematikos Rinkinys, 2009 Nonparametric estimation of multivariate multimodal probability density is analysed. The projection pursuit density estimator was proposed by J.H. Friedman.
Mindaugas Kavaliauskas
doaj +1 more source
On the Nonparametric Estimation of Covariance Functions
The Annals of Statistics, 1994 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hall, Peter +2 more
openaire +3 more sources
MethodsXThis research introduces a new model called Geographically Temporally and Weighted Spline Nonparametric Regression (GTWSNR), which is an extension of the Geographically Temporally Weighted Regression (GTWR) model.
Sifriyani +8 more
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Nonparametric estimation of an additive model with a link function [PDF]
This paper describes an estimator of the additive components of a nonparametric additive model with a known link function. When the additive components are twice continuously differentiable, the estimator is asymptotically normally distributed with a ...
Enno Mammen, Joel Horowitz
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Robust kernel estimator for densities of unknown smoothness [PDF]
, 2007 Acknowledgement This is an electronic version of an article published in the Journal of Nonparametric Statistics: Kotlyarova, Yulia and Zinde-Walsh, Victoria (2007) 'Robust kernel estimator for densities of unknown smoothness', Journal of ...
Kotlyarova, Yulia, Zinde-Walsh, Victoria
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Reliability Estimation in Multistage Ranked Set Sampling
Revstat Statistical Journal, 2017 A nonparametric reliability estimator based on multistage ranked set sampling is developed. It is shown that the estimator is unbiased and its efficiency relative to the simple random sampling rival is increasing in the number of stages.
M. Mahdizadeh , Ehsan Zamanzade
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Empirical likelihood estimators for the error distribution in nonparametric regression models [PDF]
The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method.
Kiwitt, Sebastian +2 more
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Nonparametric estimation of an additive quantile regression model [PDF]
, 2004 This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n^{-r/(2+10)} when ...
Joel L. Horowitz +5 more
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