In this article we introduce a graphical method for the test of the equality of two regression curves. Our method is based on SiZer (SIgnificant ZERo crossing of the differences) analysis, which is a scale-space visualization tool for statistical inferences. The proposed method does not require any specification of smoothing parameters, it offers a device to compare in a wide range of resolutions, instead. This enables us to find the differences between two curves that are present at each resolution level. The extension of the proposed method to the comparison of more than two regression curves is also done using residual analysis. A broad simulation study is conducted to demonstrate the sample performance of the proposed tool. Applications...
With modern technology, massive data can easily be collected in a form of multiple sets of curves. N...
The SiZer methodology proposed by Chaudhuri & Marron (1999) is a valu-able tool for conducting e...
Imagine we have two different samples and are interested in doing semi- or non-parametric regression...
Sizer Map is proposed as a graphical tool for assistance in nonparametric additive regression testin...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
Abstract: A new SiZer map is constructed in this paper for exploring features of unknown regression ...
Smoothing methods and SiZer are a useful statistical tool for discovering statistically significant ...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
Scale space theory from computer vision leads to an interesting and novel approach to nonparametric ...
<p>SiZer (significant zero crossing of the derivatives) is a multiscale smoothing method for explori...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
diverse methods for analyzing size-free shape differences tend to be guided by computational expedie...
With modern technology, massive data can easily be collected in a form of multiple sets of curves. N...
The SiZer methodology proposed by Chaudhuri & Marron (1999) is a valu-able tool for conducting e...
Imagine we have two different samples and are interested in doing semi- or non-parametric regression...
Sizer Map is proposed as a graphical tool for assistance in nonparametric additive regression testin...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
This paper concerns testing the equality of multiple curves in a nonparametric regression context. T...
Abstract: A new SiZer map is constructed in this paper for exploring features of unknown regression ...
Smoothing methods and SiZer are a useful statistical tool for discovering statistically significant ...
In the use of smoothing methods in data analysis, an important question is often: which observed fea...
Scale space theory from computer vision leads to an interesting and novel approach to nonparametric ...
<p>SiZer (significant zero crossing of the derivatives) is a multiscale smoothing method for explori...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
Current methods to compare measurement series are based on the comparison of multiple measurement po...
diverse methods for analyzing size-free shape differences tend to be guided by computational expedie...
With modern technology, massive data can easily be collected in a form of multiple sets of curves. N...
The SiZer methodology proposed by Chaudhuri & Marron (1999) is a valu-able tool for conducting e...
Imagine we have two different samples and are interested in doing semi- or non-parametric regression...