## SiZer for exploration of structures in curves (1997)

Venue: | Journal of the American Statistical Association |

Citations: | 82 - 16 self |

### BibTeX

@ARTICLE{Chaudhuri97sizerfor,

author = {P. Chaudhuri and J. S. Marron},

title = {SiZer for exploration of structures in curves},

journal = {Journal of the American Statistical Association},

year = {1997},

volume = {94},

pages = {807--823}

}

### Years of Citing Articles

### OpenURL

### Abstract

In the use of smoothing methods in data analysis, an important question is often: which observed features are "really there?", as opposed to being spurious sampling artifacts. An approach is described, based on scale space ideas that were originally developed in computer vision literature. Assessment of Significant ZERo crossings of derivatives, results in the SiZer map, a graphical device for display of significance of features, with respect to both location and scale. Here "scale" means "level of resolution", i.e.