Abstract: A new SiZer map is constructed in this paper for exploring features of unknown regression curve. We use the number of knots m as the vertical axis for the proposed new SiZer map, which is constructed based on the p-values for testing the monotonicity of the target regression curve by spline interpolation and Fiducial infer-ence. Given different nominal levels, the corresponding SiZer maps can be constructed conveniently based on the calculated p-values, they can provide us with more helpful information in doing further statistical analysis. In order to explore more features in a given subinterval, we introduce the concept of ’sub-map ’ and construct it to make a sup-plementary analysis. Furthermore, two test procedures for testing...
Scale space theory from computer vision leads to an interesting and novel approach to nonparametric ...
summary:New curvature measures for nonlinear regression models are developed and methods of their co...
In this paper we introduce a new method for automatically selecting knots in spline regression. The ...
Sizer Map is proposed as a graphical tool for assistance in nonparametric additive regression testin...
<p>SiZer (significant zero crossing of the derivatives) is a multiscale smoothing method for explori...
In this article we introduce a graphical method for the test of the equality of two regression curve...
The SiZer methodology proposed by Chaudhuri & Marron (1999) is a valu-able tool for conducting e...
In this paper we consider the problem of modeling curves in R n via interpolation with out apriori s...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
In this paper we consider the problem of modeling curves in Rn via interpolation without a priori sp...
This article focuses on interpolation subject, in particular, the interpolation of curve bootstrappi...
Description Calculates and plots the SiZer map for scatterplot data. A SiZer map is a way of examini...
B-splines constitute an appealing method for the nonparametric estimation of a range of statis-tical...
This article focuses on interpolation subject, in particular, the interpolation of curve bootstrappi...
Scale space theory from computer vision leads to an interesting and novel approach to nonparametric ...
summary:New curvature measures for nonlinear regression models are developed and methods of their co...
In this paper we introduce a new method for automatically selecting knots in spline regression. The ...
Sizer Map is proposed as a graphical tool for assistance in nonparametric additive regression testin...
<p>SiZer (significant zero crossing of the derivatives) is a multiscale smoothing method for explori...
In this article we introduce a graphical method for the test of the equality of two regression curve...
The SiZer methodology proposed by Chaudhuri & Marron (1999) is a valu-able tool for conducting e...
In this paper we consider the problem of modeling curves in R n via interpolation with out apriori s...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
In this paper we consider the problem of modeling curves in Rn via interpolation without a priori sp...
This article focuses on interpolation subject, in particular, the interpolation of curve bootstrappi...
Description Calculates and plots the SiZer map for scatterplot data. A SiZer map is a way of examini...
B-splines constitute an appealing method for the nonparametric estimation of a range of statis-tical...
This article focuses on interpolation subject, in particular, the interpolation of curve bootstrappi...
Scale space theory from computer vision leads to an interesting and novel approach to nonparametric ...
summary:New curvature measures for nonlinear regression models are developed and methods of their co...
In this paper we introduce a new method for automatically selecting knots in spline regression. The ...