Abstract
A useful tool for examining the overall structure of data is kernel density estimation. It provides a graphical device for understanding the overall pattern of the data structure. This includes symmetry and the number and locations of modes and valleys. The basic idea is to redistribute the point mass at each datum point by a smoothed density centered at the datum point. An important question is how much the point mass should be smoothed out. This will be discussed in the next section. More detailed discussions on this subject can be found in Chapter 6.
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© 1995 Springer-Verlag New York, Inc.
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Fan, J., Müller, M. (1995). Density and Regression Smoothing. In: XploRe: An Interactive Statistical Computing Environment. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4214-7_5
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DOI: https://doi.org/10.1007/978-1-4612-4214-7_5
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