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2004 | OriginalPaper | Chapter

Histogram

Authors : Wolfgang Härdle, Axel Werwatz, Marlene Müller, Stefan Sperlich

Published in: Nonparametric and Semiparametric Models

Publisher: Springer Berlin Heidelberg

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Let X be a continuous random variable and f its probability density function (pdf). The pdf tells you “how X is distributed”. From the pdf you can calculate the mean and variance of X (if they exist) and the probability that X will take on values in a certain interval. The pdf is, thus, very useful to characterize the distribution of the random variable X.

Metadata
Title
Histogram
Authors
Wolfgang Härdle
Axel Werwatz
Marlene Müller
Stefan Sperlich
Copyright Year
2004
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-17146-8_2