Continuous data are often measured or used in binned or rounded form. In this paper we follow up on Hall's work analyzing the effect of using equally-spaced binned data in a kernel density estimator. It is shown that a surprisingly large amount of binning does not adversely affect the integrated mean squared error of a kernel estimate.
|Number of pages||7|
|Journal||Communications in Statistics - Theory and Methods|
|State||Published - Jan 1 1985|
- Nonpar ametric density estimation
- rounded data
ASJC Scopus subject areas
- Statistics and Probability