Chaudhuri, Probal ; Marron, J. S. (1999) SiZer for exploration of structures in curves Journal of the American Statistical Association, 94 (447). pp. 807-823. ISSN 0162-1459
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Official URL: http://www.jstor.org/stable/10.2307/2669996
Abstract
In the use of smoothing methods in data analysis, an important question is which observed features are "really there," as opposed to being spurious sampling artifacts. An approach is described based on scale-space ideas originally developed in the 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"; that is, "bandwidth."
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to American Statistical Association. |
| ID Code: | 74629 |
| Deposited On: | 17 Dec 2011 10:28 |
| Last Modified: | 17 Dec 2011 10:28 |
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