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Simple Univariate Density Estimation

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Smoothing Methods in Statistics

Part of the book series: Springer Series in Statistics ((SSS))

Abstract

A fundamental concept in the analysis of univariate data is the probability density function. Let X be a random variable that has probability density function f(x). The density function describes the distribution of X and allows probabilities to be determined using the relation

$$P(a < X < b) = \int\limits_a^b {f(u)du.} $$

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© 1996 Springer-Verlag New York, Inc.

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Simonoff, J.S. (1996). Simple Univariate 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_2

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  • DOI: https://doi.org/10.1007/978-1-4612-4026-6_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8472-7

  • Online ISBN: 978-1-4612-4026-6

  • eBook Packages: Springer Book Archive

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