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A two-stage hybrid procedure for estimating an inverse regression function
Two-stage estimator bootstrap adaptive design asymptotic properties
2011/6/17
We consider a two-stage procedure (TSP) for estimating an inverse
regression function at a given point, where isotonic regression
is used at stage one to obtain an initial estimate and a local linea...
Rates of convergence for nearest neighbor estimators with the smoother regression function
Regression Nonparametric estimation Nearest neighbor Rate of conver-gence
2011/3/25
In regression analysis one wants to estimate the regression function from a data. In this paper we consider the rate of convergence for the nearest neighbor estimator in case that the regression funct...
An asymptotic fixed-precision confidence interval for the minimum of a quandratic regression function
An asymptotic fixed-precision confidence interval a quandratic regression function
2009/9/23
An asymptotic fixed-precision confidence interval for the minimum of a quandratic regression function。
Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data
nonparametric estimation additive regression function censored data uniform laws of the logarithm
2009/9/16
It has been recently shown that nonparametric estimators of the additive regression function could be obtained in the presence of right censoring by coupling the marginal integration method with initi...
Uniform limit laws of the logarithm for estimators of the additive regression function in the presence of right censored data
nonparametric estimation additive regressionfunction right censored data uniform laws of the logarithm
2010/4/26
It has been recently shown that nonparametric estimators of
the additive regression function could be obtained in the presence of right
censoring by coupling the marginal integration method with ini...
A LAW OF THE ITERATED LOGARITHM FOR RANDOM WINDOW-WIDTH KERNEL ESTIMATOR OF A NONPARAMETRIC REGRESSION FUNCTION
Regression function random window-width
2007/8/7
In this paper we study the estimation of the regression function. We establish a law ofthe iterated logarithm for the random window-width kernel estimator and, as an application, for a nearest neighbo...
Research on jump regression functions has not been adequate yet According to the information about the number of jumps, their positions and jump magnitudes, jump regression functions can be classified...
Inaccuracies of Measuring Methods and Their Influence on the Regression Function
the Regression Function electronic components the materials
2010/12/23
The quality parameters of electronic components and devices usually depend on the parameters of the materials. In many cases one does not know the theoretical relationship between the parameters, and ...