Abstract
Exploring and identifying structure is even more important for multivariate data than univariate data, given the difficulties in graphically presenting multivariate data and the comparative lack of parametric models to represent it. Unfortunately, such exploration is also inherently more difficult.
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© 1996 Springer-Verlag New York, Inc.
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Simonoff, J.S. (1996). Multivariate Density Estimation. In: Smoothing Methods in Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4026-6_4
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DOI: https://doi.org/10.1007/978-1-4612-4026-6_4
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8472-7
Online ISBN: 978-1-4612-4026-6
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